Event List
retrieve:
Return the details about the given Event id.
list:
List all Event objects.
GET /api/v1/events/?format=api&offset=220&ordering=-event__start_time
{ "count": 264, "next": "https://memento.epfl.ch/api/v1/events/?format=api&limit=10&offset=230&ordering=-event__start_time", "previous": "https://memento.epfl.ch/api/v1/events/?format=api&limit=10&offset=210&ordering=-event__start_time", "results": [ { "id": 70656, "title": "Innovate with AI and Tech", "slug": "innovate-with-ai-and-tech-3", "event_url": "https://memento.epfl.ch/event/innovate-with-ai-and-tech-3", "visual_url": "https://memento.epfl.ch/image/32081/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32081/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32081/max-size.jpg", "lang": "en", "start_date": "2026-10-05", "end_date": "2026-10-09", "start_time": null, "end_time": null, "description": "<strong>Drive growth with new technologies</strong><br>\r\n<br>\r\nEPFL & IMD join forces to offer you a unique learning experience to drive innovation with game-changing technologies like AI, IoT, and robotics.<br>\r\n<br>\r\nNew technologies can greatly enhance your business value, enabling you to develop fresh products and services, boost productivity and save time. However, in a rapidly evolving field, how do you identify which tech solutions offer you the best opportunities to innovate and grow?<br>\r\n<br>\r\nThis 5-day program brings together business and technology experts to help you identify your most promising strategic opportunities using innovative technologies like AI, robotics, and quantum computing. You’ll leverage AI as your innovation partner, enhancing how you develop and validate solutions. You’ll cultivate an innovator’s mindset, gaining cutting-edge knowledge, skills, and the confidence to make impactful technology decisions.<br>\r\n<br>\r\nInnovate with AI and Tech is a must for leaders and managers in all business areas looking to leverage new technologies to drive faster innovation and growth.", "image_description": "", "creation_date": "2025-12-11T09:34:09", "last_modification_date": "2026-03-30T10:09:45", "link_label": "Website", "link_url": "https://www.imd.org/digital-transformation/iait/innovate-ai-technologies/", "canceled": "False", "cancel_reason": "", "place_and_room": "", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "", "organizer": "EPFL Executive Education & IMD", "contact": "[email protected]", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "Innovation, AI, Tech", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/118976/", "category": { "id": 4, "code": "DIVERS", "fr_label": "Autres types d’événement", "en_label": "Miscellaneous", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/416/?format=api", "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/3/?format=api", "https://memento.epfl.ch/api/v1/mementos/437/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/417/?format=api", "https://memento.epfl.ch/api/v1/mementos/8/?format=api" ] }, { "id": 70883, "title": "ERC Consolidator Grants", "slug": "erc-consolidator-grants", "event_url": "https://memento.epfl.ch/event/erc-consolidator-grants", "visual_url": "https://memento.epfl.ch/image/32273/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32273/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32273/max-size.jpg", "lang": "en", "start_date": "2027-01-12", "end_date": "2027-01-12", "start_time": null, "end_time": null, "description": "<strong>Call opening announced for 24 September, 2026<br>\r\n<br>\r\nAim</strong><br>\r\nFor excellent scientists to consolidate their research career in the framework of an ambitious research project, allowing for major scientific advancements.<br>\r\n<br>\r\n<strong>Funding & duration</strong><br>\r\nMax. EUR 2 Mio (including 25% overhead) for a period of max. 5 years (pro rata temporis for shorter project duration). Additional funding of up to 1 mio EUR (including 25% overhead) can be requested for well justified reasons. For applicants relocating to the EU or an Horizon Europe associated country, additional funding for up to 2 mio EUR can be requested.<br>\r\n<br>\r\n<strong>Eligibility</strong>\r\n<ul>\r\n\t<li>Applicants must be 5 – 15 years after their successful PhD defense (eligibility window from 1 January 2012 to 31 December 2021).</li>\r\n\t<li>Principal Investigators must commit a minimum of 40% of their working time to the project and a minimum of 50% of their working time in a European Member State or Associated Country.</li>\r\n\t<li>For applicants without professorship restrictions apply, contact <a href=\"mailto:[email protected]\">[email protected]</a> as soon as possible.</li>\r\n\t<li>Applicants must submit an EPFL commitment letter together with their project proposal.</li>\r\n\t<li>Proposals are submitted via the <a href=\"https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/topic-details-tr/ERC-2027-COG?order=DESC&pageNumber=1&pageSize=50&sortBy=startDate&isExactMatch=true&status=31094501,31094502,31094503&programmePart=43108406&frameworkProgramme=43108390\">EU Funding & Tenders portal</a>.</li>\r\n</ul>\r\n<strong>Deadline for proposal submissions</strong><br>\r\n12 January 2027, 17:00 CET<br>\r\n<br>\r\n<strong>Support and information</strong>\r\n\r\n<ul>\r\n\t<li><a href=\"https://drive.google.com/drive/folders/1lkShwV3jJXi-LyiMn3f53faponTgZ51n\">EPFL toolkit</a> for the proposal preparation, including instructions on how to obtain the EPFL commitment letter. The toolkit will be finalised once the call is published.</li>\r\n\t<li>EPFL Information Session: 15 October 2026, 11:00 – 12:30 – <a href=\"https://forms.gle/Vh45VGpyMcaPsfTw9\">register now</a>!</li>\r\n\t<li>For proposal writing services and administrative assistance with the proposal preparation please contact <a href=\"mailto:[email protected]\">[email protected]</a>.</li>\r\n</ul>", "image_description": "", "creation_date": "2026-01-15T14:45:18", "last_modification_date": "2026-09-24T13:18:29", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [], "speaker": "", "organizer": "", "contact": "[email protected]", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/119338/", "category": { "id": 16, "code": "PROP", "fr_label": "Appel à proposition", "en_label": "Call for proposal", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/140/?format=api" ] }, { "id": 70956, "title": "G protein-coupled receptors functional dynamics revealed by experimental and computational structural data", "slug": "g-protein-coupled-receptors-functional-dynamics-re", "event_url": "https://memento.epfl.ch/event/g-protein-coupled-receptors-functional-dynamics-re", "visual_url": "https://memento.epfl.ch/image/32345/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32345/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32345/max-size.jpg", "lang": "en", "start_date": "2026-10-07", "end_date": "2026-10-09", "start_time": null, "end_time": null, "description": "<p>You can apply to participate and find all the relevant information (speakers, abstracts, program,...) on the event website: <a href=\"https://www.cecam.org/workshop-details/g-protein-coupled-receptors-functional-dynamics-revealed-by-experimental-and-computational-structural-data-1488\">https://www.cecam.org/workshop-details/g-protein-coupled-receptors-functional-dynamics-revealed-by-experimental-and-computational-structural-data-1488</a>.<br>\r\n<br>\r\nRegistration is required to attend the full event, take part in the social activities and present a poster at the poster session (if any). However, the EPFL community is welcome to attend specific lectures without registration if the topic is of interest to their research. Do not hesitate to contact the <a href=\"mailto:[email protected]\">CECAM Event Manager</a> if you have any question.<br>\r\n<br>\r\n<strong>Description</strong><br>\r\n<br>\r\nG protein-coupled receptors (GPCRs) represent a vast and diverse class of transmembrane proteins that orchestrate a wide range of physiological processes by responding to both endogenous and exogenous ligands [1,2]. These receptors are essential to critical functions such as metabolism, immune regulation, neuronal signaling, and sensory perception - including vision and olfaction. Due to their physiological relevance and membrane accessibility, GPCRs are the targets of approximately 34% of all prescribed medications, accounting for nearly 27% of the global pharmaceutical market [3]. <br>\r\nDespite their pharmaceutical importance, key aspects of GPCR function remain elusive. The canonical activation model posits that agonist binding to the extracellular orthosteric site triggers allosteric changes - most notably, the outward displacement of transmembrane helices 5 (TM5) and 6 (TM6) on the intracellular side - ultimately leading to receptor activation [2-4]. However, recent evidence suggests a more nuanced mechanism. In several GPCRs, activation appears to involve cooperative engagement between the agonist and the G protein. For example, the G protein may disrupt an \"inactivating ionic lock\" - a salt bridge between TM3 and TM6 - while the agonist stabilizes the active conformation. In some receptors, this is complemented by the formation of an “activating ionic lock” between TM5 and TM6 [5-8]. These dual contributions are considered thermodynamically essential for full activation [7].<br>\r\nAdding further complexity, GPCR activity is regulated by conformational microswitches and finely tuned intra-protein interaction networks. These dynamic rearrangements are difficult to capture and often elude direct correlation with functional outcomes. Moreover, allosteric ligands - which bind sites distinct from the orthosteric pocket - are being increasingly identified [9-12], along with small molecules capable of biased signaling, i.e., preferential activation of specific intracellular pathways [11-13, 16, 17]. These findings reveal a rich and underexplored conformational landscape that governs GPCR signaling. In addition, native membrane components—such as lipids and interacting proteins, including GPCR oligomers—are known to significantly modulate receptor function [11, 18-22].<br>\r\nTo disentangle these intricacies, computational modeling has become indispensable, offering atomistic insight into GPCR conformational dynamics and mechanistic understanding [1-2, 7, 11, 14, 16–21, 23]. Nevertheless, key questions remain - particularly regarding the structural basis of biased signaling, strategies for leveraging allosteric networks in pharmacology, and the modulatory role of the lipid environment. Addressing these gaps is crucial for both fundamental biology and the rational design of next-generation GPCR-targeting drugs with improved selectivity and safety profiles. <br>\r\nThese scientific challenges form the foundation of our upcoming workshop, which will focus on the latest experimental and computational approaches for studying the functional dynamics of GPCRs. Given the profound health, economic, and societal implications of modulating these receptors with precision, we aim to strengthen the interdisciplinary nature of the event by increasing the representation of experimental research and integrating cutting-edge artificial intelligence applications into the program.<br>\r\nBuilding upon the success of the 2022 and 2024 editions - which led to new collaborations and a landmark publication in <em>Nature Reviews Drug Discovery</em> [24] - our goal is to further enhance communication and collaboration between experimentalists and theoreticians. The workshop will serve as a reference point for young scientists and students, offering a platform to interact with leading international experts. We are confident that this initiative will foster insightful discussions and contribute meaningfully to advancing the field of GPCR pharmacology.<br>\r\n<br>\r\n<strong>References</strong><br>\r\n<br>\r\n<a href=\"https://doi.org/10.1038/nrd.2017.229\" target=\"_blank\">[1] J. Smith, R. Lefkowitz, S. Rajagopal, Nat. Rev. Drug. Discov., <strong>17</strong>, 243-260 (2018)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41573-024-01083-3\" target=\"_blank\">[2] P. Conflitti, E. Lyman, M. Sansom, P. Hildebrand, H. Gutiérrez-de-Terán, P. Carloni, T. Ansell, S. Yuan, P. Barth, A. Robinson, C. Tate, D. Gloriam, S. Grzesiek, M. Eddy, S. Prosser, V. Limongelli, Nat. Rev. Drug. Discov., <strong>24</strong>, 251-275 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41589-024-01682-6\" target=\"_blank\">[3] L. Picard, A. Orazietti, D. Tran, A. Tucs, S. Hagimoto, Z. Qi, S. Huang, K. Tsuda, A. Kitao, A. Sljoka, R. Prosser, Nat. Chem. Biol., <strong>21</strong>, 71-79 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.drudis.2020.10.006\" target=\"_blank\">[4] B. Huang, C. St. Onge, H. Ma, Y. Zhang, Drug Discovery Today, <strong>26</strong>, 189-199 (2021)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41467-023-42082-z\" target=\"_blank\">[5] D. Di Marino, P. Conflitti, S. Motta, V. Limongelli, Nat. Commun., <strong>14</strong>, 6439 (2023)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.ceb.2018.10.007\" target=\"_blank\">[6] G. Milligan, R. Ward, S. Marsango, Current Opinion in Cell Biology, <strong>57</strong>, 40-47 (2019)</a><br>\r\n<a href=\"https://doi.org/10.7554/elife.73901\" target=\"_blank\">[7] S. Huang, O. Almurad, R. Pejana, Z. Morrison, A. Pandey, L. Picard, M. Nitz, A. Sljoka, R. Prosser, eLife, <strong>11</strong>, (2022)</a><br>\r\n<a href=\"https://doi.org/10.1146/annurev-pharmtox-010919-023411\" target=\"_blank\">[8] A. Duncan, W. Song, M. Sansom, Annu. Rev. Pharmacol. Toxicol., <strong>60</strong>, 31-50 (2020)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41467-025-60003-0\" target=\"_blank\">[9] A. Morales-Pastor, T. Miljuš, M. Dieguez-Eceolaza, T. Stępniewski, V. Ledesma-Martin, F. Heydenreich, T. Flock, B. Plouffe, C. Le Gouill, J. Duchaine, D. Sykes, C. Nicholson, E. Koers, W. Guba, A. Rufer, U. Grether, M. Bouvier, D. Veprintsev, J. Selent, Nat. Commun., <strong>16</strong>, 5265 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41586-022-05588-y\" target=\"_blank\">[10] A. Faouzi, H. Wang, S. Zaidi, J. DiBerto, T. Che, Q. Qu, M. Robertson, M. Madasu, A. El Daibani, B. Varga, T. Zhang, C. Ruiz, S. Liu, J. Xu, K. Appourchaux, S. Slocum, S. Eans, M. Cameron, R. Al-Hasani, Y. Pan, B. Roth, J. McLaughlin, G. Skiniotis, V. Katritch, B. Kobilka, S. Majumdar, Nature, <strong>613</strong>, 767-774 (2022)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41467-022-31652-2\" target=\"_blank\">[11] M. Wall, E. Hill, R. Huckstepp, K. Barkan, G. Deganutti, M. Leuenberger, B. Preti, I. Winfield, S. Carvalho, A. Suchankova, H. Wei, D. Safitri, X. Huang, W. Imlach, C. La Mache, E. Dean, C. Hume, S. Hayward, J. Oliver, F. Zhao, D. Spanswick, C. Reynolds, M. Lochner, G. Ladds, B. Frenguelli, Nat. Commun., <strong>13</strong>, 4150 (2022)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41580-018-0049-3\" target=\"_blank\">[12] D. Wootten, A. Christopoulos, M. Marti-Solano, M. Babu, P. Sexton, Nat. Rev. Mol. Cell. Biol., <strong>19</strong>, 638-653 (2018)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41594-017-0011-7\" target=\"_blank\">[13] D. Hilger, M. Masureel, B. Kobilka, Nat. Struct. Mol. Biol., <strong>25</strong>, 4-12 (2018)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41467-025-57034-y\" target=\"_blank\">[14] D. Aranda-García, T. Stepniewski, M. Torrens-Fontanals, A. García-Recio, M. Lopez-Balastegui, B. Medel-Lacruz, A. Morales-Pastor, A. Peralta-García, M. Dieguez-Eceolaza, D. Sotillo-Nuñez, T. Ding, M. Drabek, C. Jacquemard, J. Jakowiecki, W. Jespers, M. Jiménez-Rosés, V. Jun-Yu-Lim, A. Nicoli, U. Orzel, A. Shahraki, J. Tiemann, V. Ledesma-Martin, F. Nerín-Fonz, S. Suárez-Dou, O. Canal, G. Pándy-Szekeres, J. Mao, D. Gloriam, E. Kellenberger, D. Latek, R. Guixà-González, H. Gutiérrez-de-Terán, I. Tikhonova, P. Hildebrand, M. Filizola, M. Babu, A. Di Pizio, S. Filipek, P. Kolb, A. Cordomi, T. Giorgino, M. Marti-Solano, J. Selent, Nat. Commun., <strong>16</strong>, 2020 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41586-018-0259-z\" target=\"_blank\">[15] D. Thal, A. Glukhova, P. Sexton, A. Christopoulos, Nature, <strong>559</strong>, 45-53 (2018)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.tips.2020.12.005\" target=\"_blank\">[16] L. Slosky, M. Caron, L. Barak, Trends in Pharmacological Sciences, <strong>42</strong>, 283-299 (2021)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.apsb.2023.07.020\" target=\"_blank\">[17] C. Zhu, X. Lan, Z. Wei, J. Yu, J. Zhang, Acta Pharmaceutica Sinica B, <strong>14</strong>, 67-86 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.chempr.2024.08.004\" target=\"_blank\">[18] V. D’Amore, P. Conflitti, L. Marinelli, V. Limongelli, Chem, <strong>10</strong>, 3678-3698 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41557-023-01238-6\" target=\"_blank\">[19] A. Mafi, S. Kim, W. Goddard, Nat. Chem., <strong>15</strong>, 1127-1137 (2023)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41594-024-01334-2\" target=\"_blank\">[20] H. Batebi, G. Pérez-Hernández, S. Rahman, B. Lan, A. Kamprad, M. Shi, D. Speck, J. Tiemann, R. Guixà-González, F. Reinhardt, P. Stadler, M. Papasergi-Scott, G. Skiniotis, P. Scheerer, B. Kobilka, J. Mathiesen, X. Liu, P. Hildebrand, Nat. Struct. Mol. Biol., <strong>31</strong>, 1692-1701 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.cell.2015.04.043\" target=\"_blank\">[21] A. Manglik, T. Kim, M. Masureel, C. Altenbach, Z. Yang, D. Hilger, M. Lerch, T. Kobilka, F. Thian, W. Hubbell, R. Prosser, B. Kobilka, Cell, <strong>161</strong>, 1101-1111 (2015)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.cell.2020.03.003\" target=\"_blank\">[22] M. Congreve, C. de Graaf, N. Swain, C. Tate, Cell, <strong>181</strong>, 81-91 (2020)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41573-025-01139-y\" target=\"_blank\">[23] J. Lorente, A. Sokolov, G. Ferguson, H. Schiöth, A. Hauser, D. Gloriam, Nat. Rev. Drug. Discov., <strong>24</strong>, 458-479 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1111/bph.16495\" target=\"_blank\">[24] M. Lopez‐Balastegui, T. Stepniewski, M. Kogut‐Günthel, A. Di Pizio, M. Rosenkilde, J. Mao, J. Selent, British. J. Pharmacology., <strong>182</strong>, 3211-3224 (2024)</a>\r\n</p><div class=\"active tab-pane\"> </div>", "image_description": "", "creation_date": "2026-01-26T16:00:31", "last_modification_date": "2026-01-26T16:45:08", "link_label": "G protein-coupled receptors functional dynamics revealed by experimental and computational structura", "link_url": "https://www.cecam.org/workshop-details/g-protein-coupled-receptors-functional-dynamics-revealed-by-experimental-and-computational-structural-data-1488", "canceled": "False", "cancel_reason": "", "place_and_room": "Aula Magna, USI Lugano", "url_place_and_room": "https://www.desk.usi.ch/en/lugano-campus-map-access-facilities", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "", "organizer": "<strong>Vittorio Limongelli</strong>, Università della Svizzera Italiana USI Lugano ; <strong>Scott Prosser</strong>, University of Toronto ; <strong>Stefano Raniolo</strong>, Università della Svizzera Italiana ; <strong>Jana Selent</strong>, Hospital Del Mar Medical Research Institute", "contact": "<a href=\"mailto:[email protected]\"><strong>Cornelia Bujenita</strong></a>, CECAM Events and Operations Manager", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/119453/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api" ] }, { "id": 70957, "title": "From Data to Dynamics: Machine Learning in Statistical Mechanics and Molecular Simulations", "slug": "from-data-to-dynamics-machine-learning-in-statis-2", "event_url": "https://memento.epfl.ch/event/from-data-to-dynamics-machine-learning-in-statis-2", "visual_url": "https://memento.epfl.ch/image/32346/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32346/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32346/max-size.jpg", "lang": "en", "start_date": "2026-10-14", "end_date": "2026-10-16", "start_time": null, "end_time": null, "description": "<p>You can apply to participate and find all the relevant information (speakers, abstracts, program,...) on the event website: <a href=\"https://www.cecam.org/workshop-details/from-data-to-dynamics-machine-learning-in-statistical-mechanics-and-molecular-simulations-1487\">https://www.cecam.org/workshop-details/from-data-to-dynamics-machine-learning-in-statistical-mechanics-and-molecular-simulations-1487</a>.<br>\r\n<br>\r\nRegistration is required to attend the full event, take part in the social activities and present a poster at the poster session (if any). However, the EPFL community is welcome to attend specific lectures without registration if the topic is of interest to their research. Do not hesitate to contact the <a href=\"mailto:[email protected]\">CECAM Event Manager</a> if you have any question.<br>\r\n<br>\r\n<strong>Description</strong><br>\r\nSince its introduction in the 1970s, molecular dynamics (MD) has become an indispensable computational microscope for studying complex biological systems at atomic resolution. It has enabled detailed investigations into protein folding, conformational dynamics, and ligand binding and unbinding. Over the past decade, increasing computational power has made microsecond-scale simulations routine, producing massive datasets that demand sophisticated analysis strategies [1]. Despite these advances, conventional MD simulations still face a fundamental limitation: many biologically relevant events occur over milliseconds to seconds—timescales largely inaccessible to standard MD.<br>\r\nTo bridge this gap, researchers increasingly turn to enhanced sampling techniques—such as metadynamics and umbrella sampling [2,3]—and coarse-grained (CG) modeling approaches [4]. These methods enable more comprehensive exploration of the system’s free energy landscape, yet their success critically depends on the selection of appropriate reaction coordinates or collective variables (CVs). CVs must capture the slowest, most functionally relevant motions to accurately reflect thermodynamic and kinetic behavior. However, identifying suitable CVs remains one of the field’s most challenging tasks, typically requiring domain expertise and iterative refinement [5, 6].<br>\r\nThis complexity has fueled growing interest in machine learning (ML) techniques, which are now transforming how MD simulations are analyzed, interpreted, and even conducted. ML methods have been applied to automate CV discovery, perform dimensionality reduction, build thermodynamic and kinetic models, and enhance sampling efficiency [7]. These models often employ artificial neural networks or graph neural networks to map high-dimensional molecular configurations—such as Cartesian coordinates or molecular descriptors—into low-dimensional representations suitable for analysis [8].<br>\r\nDepending on the structure and type of data, ML algorithms can be broadly categorized into supervised, unsupervised, and reinforcement learning paradigms [9]. Supervised learning uses labeled input-output pairs to predict properties such as molecular energies or binding affinities [10], while unsupervised learning enables the identification of latent features, such as CVs, directly from data [11].<br>\r\nA cornerstone of modern ML-driven simulation is the development of symmetry-aware molecular representations. The predictive power of ML models hinges on encoding physical symmetries—like rotation and translation—directly into the model. E(3)-equivariant neural networks have emerged as powerful tools for this purpose, significantly improving data efficiency and generalization in learning potential energy surfaces [12]. Ongoing research continues to explore the optimal balance between enforcing strict symmetry and retaining model flexibility.<br>\r\nMeanwhile, breakthroughs in structural prediction—most notably the advent of AlphaFold 3—have revolutionized how researchers obtain initial molecular configurations. AlphaFold now provides remarkably accurate models of not only proteins but also their complexes with nucleic acids, ions, and small-molecule ligands [13]. However, these are static snapshots. They cannot capture dynamic behaviors, allosteric transitions, or binding kinetics—areas where physics-based simulations remain indispensable. Initial benchmarks suggest that even state-of-the-art predictors still fall short in modeling protein dynamics and ranking ligand binding affinities, further emphasizing the role of MD [14].<br>\r\nTo address the dimensionality and sampling bottlenecks, unsupervised ML approaches such as time-lagged autoencoders have reframed CV identification as a data-driven task. More recently, generative models—including diffusion models and variational autoencoders—have emerged as a new frontier. These models can learn the full conformational landscape of biomolecules and enable enhanced sampling, in some cases eliminating the need for predefined CVs altogether [15].<br>\r\nOnce accurate structural models and CVs are established, ML can significantly improve the estimation of thermodynamic and kinetic properties. In drug discovery, for instance, predicting protein–ligand binding affinity remains a central challenge. ML potentials trained on quantum mechanical data can be combined with enhanced sampling to yield highly accurate free energy landscapes and binding kinetics—results previously unattainable due to computational limitations [16]. However, challenges in data quality, model interpretability, and transferability remain critical areas of ongoing investigation [17].<br>\r\nFinally, ML is driving a renaissance in CG modeling. Deep neural networks can now learn many-body CG potentials directly from all-atom simulations, capturing emergent properties and enhancing transferability [18]. These models open the door to longer, larger-scale simulations with greater physical accuracy.<br>\r\nIn this rapidly evolving context, it becomes imperative to critically assess both the promise and limitations of ML in biomolecular simulation. The excitement surrounding these developments must be tempered by careful validation and benchmarking. This workshop thus serves as a timely opportunity—especially for early-career researchers—to explore these cutting-edge methods, engage in constructive dialogue, and chart new directions in the application of machine learning to molecular dynamics and drug discovery.<br>\r\n <br>\r\n<strong>References</strong><br>\r\n<br>\r\n<a href=\"https://doi.org/10.1103/physrevlett.98.146401\" target=\"_blank\">[1] J. Behler, M. Parrinello, Phys. Rev. Lett., <strong>98</strong>, 146401 (2007)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.sbi.2024.102972\" target=\"_blank\">[2] P. Sahrmann, G. Voth, Current Opinion in Structural Biology, <strong>90</strong>, 102972 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1021/acs.jcim.2c01127\" target=\"_blank\">[3] K. Kříž, L. Schmidt, A. Andersson, M. Walz, D. van der Spoel, J. Chem. Inf. Model., <strong>63</strong>, 412-431 (2023)</a><br>\r\n<a href=\"https://doi.org/10.3389/fmolb.2022.899805\" target=\"_blank\">[4] K. Ahmad, A. Rizzi, R. Capelli, D. Mandelli, W. Lyu, P. Carloni, Front. Mol. Biosci., <strong>9</strong>, (2022)</a><br>\r\n<a href=\"https://doi.org/10.1146/annurev-physchem-083122-125941\" target=\"_blank\">[5] S. Mehdi, Z. Smith, L. Herron, Z. Zou, P. Tiwary, Annual Review of Physical Chemistry, <strong>75</strong>, 347-370 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1101/2025.04.07.647682\" target=\"_blank\">[6] H. Zheng, H. Lin, A. Alade, J. Chen, E. Monroy, M. Zhang, J. Wang, AlphaFold3 in Drug Discovery: A Comprehensive Assessment of Capabilities, Limitations, and Applications, 2025</a><br>\r\n<a href=\"https://doi.org/10.1038/s41586-024-07487-w\" target=\"_blank\">[7] J. Abramson, J. Adler, J. Dunger, R. Evans, T. Green, A. Pritzel, O. Ronneberger, L. Willmore, A. Ballard, J. Bambrick, S. Bodenstein, D. Evans, C. Hung, M. O’Neill, D. Reiman, K. Tunyasuvunakool, Z. Wu, A. Žemgulytė, E. Arvaniti, C. Beattie, O. Bertolli, A. Bridgland, A. Cherepanov, M. Congreve, A. Cowen-Rivers, A. Cowie, M. Figurnov, F. Fuchs, H. Gladman, R. Jain, Y. Khan, C. Low, K. Perlin, A. Potapenko, P. Savy, S. Singh, A. Stecula, A. Thillaisundaram, C. Tong, S. Yakneen, E. Zhong, M. Zielinski, A. Žídek, V. Bapst, P. Kohli, M. Jaderberg, D. Hassabis, J. Jumper, Nature, <strong>630</strong>, 493-500 (2024)</a><br>\r\n[8] Fabian B. Fuchs, Daniel E. Worrall, Volker Fischer, Max Welling, NIPS'20: Proceedings of the 34th International Conference on Neural Information Processing Systems, Article No.: 166, Pages 1970 - 1981 (2020)<br>\r\n<a href=\"https://doi.org/10.1080/00268976.2020.1737742\" target=\"_blank\">[9] H. Sidky, W. Chen, A. Ferguson, Molecular Physics, <strong>118</strong>, (2020)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.sbi.2019.12.016\" target=\"_blank\">[10] Y. Wang, J. Lamim Ribeiro, P. Tiwary, Current Opinion in Structural Biology, <strong>61</strong>, 139-145 (2020)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41586-018-0337-2\" target=\"_blank\">[11] K. Butler, D. Davies, H. Cartwright, O. Isayev, A. Walsh, Nature, <strong>559</strong>, 547-555 (2018)</a><br>\r\n<a href=\"https://doi.org/10.1146/annurev-physchem-042018-052331\" target=\"_blank\">[12] F. Noé, A. Tkatchenko, K. Müller, C. Clementi, Annu. Rev. Phys. Chem., <strong>71</strong>, 361-390 (2020)</a><br>\r\n<a href=\"https://doi.org/10.1080/23746149.2021.2006080\" target=\"_blank\">[13] S. Kaptan, I. Vattulainen, Advances in Physics: X, <strong>7</strong>, (2022)</a><br>\r\n<a href=\"https://doi.org/10.1002/wcms.1455\" target=\"_blank\">[14] V. Limongelli, WIREs. Comput. Mol. Sci., <strong>10</strong>, (2020)</a><br>\r\n<a href=\"https://doi.org/10.1021/acs.chemrev.0c01195\" target=\"_blank\">[15] A. Glielmo, B. Husic, A. Rodriguez, C. Clementi, F. Noé, A. Laio, Chem. Rev., <strong>121</strong>, 9722-9758 (2021)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.sbi.2018.11.005\" target=\"_blank\">[16] A. Pak, G. Voth, Current Opinion in Structural Biology, <strong>52</strong>, 119-126 (2018)</a><br>\r\n<a href=\"https://doi.org/10.1021/jacs.6b05602\" target=\"_blank\">[17] M. Lelimousin, V. Limongelli, M. Sansom, J. Am. Chem. Soc., <strong>138</strong>, 10611-10622 (2016)</a><br>\r\n<a href=\"https://doi.org/10.3390/e16010163\" target=\"_blank\">[18] C. Abrams, G. Bussi, Entropy, <strong>16</strong>, 163-199 (2013)</a>\r\n</p><div class=\"active tab-pane\"> </div>", "image_description": "", "creation_date": "2026-01-26T16:07:22", "last_modification_date": "2026-01-26T16:45:31", "link_label": "From Data to Dynamics: Machine Learning in Statistical Mechanics and Molecular Simulations", "link_url": "https://www.cecam.org/workshop-details/from-data-to-dynamics-machine-learning-in-statistical-mechanics-and-molecular-simulations-1487", "canceled": "False", "cancel_reason": "", "place_and_room": "Aula Magna, USI Lugano", "url_place_and_room": "https://www.desk.usi.ch/en/lugano-campus-map-access-facilities", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "", "organizer": "<strong>Daniele Angioletti, </strong>Università della Svizzera Italiana (USI) ; <strong>Vincenzo Maria D'Amore, </strong>University of Naples \"Federico II\" ; <strong>Marco De Vivo, </strong>Istituto Italiano di Tecnologia ; <strong>Francesco Saverio Di Leva, </strong>University of Naples Federico II ; <strong>Vittorio Limongelli, </strong>Università della Svizzera Italiana USI Lugano ; <strong>Gregory Voth, </strong>University of Chicago", "contact": "<a href=\"mailto:[email protected]\"><strong>Cornelia Bujenita</strong></a>, CECAM Events and Operations Manager", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/119454/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api" ] }, { "id": 72490, "title": "Velux Foundation: Challenges in Healthy Ageing", "slug": "velux-foundation-challenges-in-healthy-ageing", "event_url": "https://memento.epfl.ch/event/velux-foundation-challenges-in-healthy-ageing", "visual_url": "https://memento.epfl.ch/image/33756/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33756/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33756/max-size.jpg", "lang": "en", "start_date": "2026-11-24", "end_date": "2026-11-24", "start_time": null, "end_time": null, "description": "<strong>IMPORTANT</strong>: As the call allows only a limited number of proposals per institution, candidates must first send an <strong><a href=\"https://drive.google.com/drive/folders/1pgftdmoRpZzNguYGx9Lh4jLMy3Ugy1JR\">Expression of Interest</a></strong> to the Research Office by <strong>28 September 2026</strong>.<br>\r\nAccess our internal toolkit and submission instructions <a href=\"https://drive.google.com/drive/folders/12FYfbEVAkXUPmL6zXRy5jntD1VVDoZ-L\"><strong>here</strong></a>:<br>\r\n<br>\r\n<strong>Goals</strong>\r\n<ul>\r\n\t<li>Understand how environments and context influence health and shape functional ability in older age.</li>\r\n\t<li>Examine how such factors affect whether healthy behaviours are easy or difficult, whether opportunities for participation exist, and whether older people can live independently.</li>\r\n\t<li>Support conditions that enable people to remain healthy, contribute to society, and pursue what matters to them for as long as possible.</li>\r\n</ul>\r\n<strong>Research Scope </strong>\r\n\r\n<ul>\r\n\t<li><strong>Go beyond single-cause thinking.</strong> Study how environmental and contextual factors interact to shape functional ability in later life.</li>\r\n\t<li><strong>Show the interaction, not just the factor.</strong> Capture pathways of risk and resilience, and identify which features are modifiable enough to act on.</li>\r\n\t<li><strong>Match method to ambition.</strong> Use systems thinking in established designs, or complex-systems methods directly and translate findings into scalable, context-sensitive solutions.</li>\r\n</ul>\r\n<strong>Priority Focus Areas </strong>\r\n\r\n<ul>\r\n\t<li>Changing the narrative of age and ageing</li>\r\n\t<li>Heat and out-of-home mobility & activity in later life</li>\r\n</ul>\r\n<strong>Out-of-scope topics</strong>\r\n\r\n<ul>\r\n\t<li>Research investigating the biology of ageing to slow, pause, or reverse the ageing process itself.</li>\r\n\t<li>Biomedical research on the aetiology, diagnosis, or therapy of specific age-related diseases.</li>\r\n</ul>\r\n<strong>Eligibility</strong>\r\n\r\n<ul>\r\n\t<li>At least <strong>two project partners (PI and co-PI)</strong> from different institutions.</li>\r\n\t<li><strong>PI</strong> must be a <strong>permanent employee </strong></li>\r\n\t<li>A maximum of 3 co-PIs is allowed. May be non-permanent employees.</li>\r\n\t<li>The number of collaborators is not limited.</li>\r\n\t<li>Co-PIs and collaborators from non-listed countries are permissible.</li>\r\n</ul>\r\n<strong>Funding and Duration </strong>\r\n\r\n<ul>\r\n\t<li><strong>CHF 75,000</strong>/year</li>\r\n\t<li>Projects can run for <strong>up to 4 years</strong></li>\r\n\t<li>Eligible budget categories include:\r\n\t<ul>\r\n\t\t<li>Salaries (for research staff – salaries for PI or other senior contributors to be covered through their employment)</li>\r\n\t\t<li>Consumables</li>\r\n\t\t<li>Knowledge transfer</li>\r\n\t\t<li>Stakeholder engagement</li>\r\n\t\t<li>Equipment</li>\r\n\t</ul>\r\n\t</li>\r\n\t<li><strong>Overhead is not Eligible</strong></li>\r\n</ul>\r\n<strong>Deadlines</strong>\r\n\r\n<ul>\r\n\t<li><strong>Internal deadline to express interest: </strong>28 September 2026</li>\r\n\t<li><strong>Submission deadline: </strong>24 November 2026, 23:59 CET</li>\r\n\t<li><strong>Final decision: </strong>June 2027</li>\r\n</ul>\r\n<strong>More Information</strong>\r\n\r\n<ul>\r\n\t<li><strong>Submission portal</strong>: <a href=\"https://portal.veluxstiftung.deskone.ch/login\" target=\"_new\">https://portal.veluxstiftung.deskone.ch/login</a></li>\r\n\t<li><strong>Full call document</strong>: <a href=\"https://veluxstiftung.ch/wp-content/uploads/HealthyAgeing-Call-for-proposals.pdf\">Call for proposals: Healthy Ageing PDF</a></li>\r\n\t<li><strong>Contact</strong>: <a href=\"mailto:[email protected]\">[email protected]</a></li>\r\n</ul>\r\n<br>\r\n ", "image_description": "", "creation_date": "2026-09-02T09:50:06", "last_modification_date": "2026-09-09T12:20:13", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [], "speaker": "", "organizer": "", "contact": "<a href=\"mailto:[email protected]\"><strong>[email protected]</strong></a><strong> </strong>", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/121655/", "category": { "id": 16, "code": "PROP", "fr_label": "Appel à proposition", "en_label": "Call for proposal", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/140/?format=api" ] }, { "id": 71376, "title": "EPFL Latsis Symposium 2026: “Decoding the Cell: Modeling, Predicting, and Engineering Cellular States”", "slug": "epfl-latsis-symposium-2026-decoding-the-cell-model", "event_url": "https://memento.epfl.ch/event/epfl-latsis-symposium-2026-decoding-the-cell-model", "visual_url": "https://memento.epfl.ch/image/32724/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32724/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32724/max-size.jpg", "lang": "en", "start_date": "2026-10-29", "end_date": "2026-10-30", "start_time": null, "end_time": null, "description": "<div class=\"ms-outlook-mobile-reference-message skipProofing\">The <strong>EPFL Latsis Symposium 2026<em>: “Decoding the Cell: Modeling, Predicting, and Engineering Cellular States”</em></strong> will be held on <strong>October 29-30, 2026</strong>, at the <strong>Olympic Museum in Lausanne</strong>.<br>\r\n<br>\r\nThis international gathering will bring together leading scientists in single-cell analysis, computational modeling, and cellular engineering to explore how recent breakthroughs in multi-omics technologies, predictive algorithms, and synthetic biology are reshaping our understanding of cellular function.<br>\r\n<br>\r\nThrough interdisciplinary talks and discussions, the symposium will spotlight advances in single-cell multi-modal data integration, predictive modeling of cell identity and behavior, and the engineering of synthetic cell states. By connecting researchers across experimental and computational domains, the event aims to establish new conceptual and technological frameworks for modeling and controlling cellular systems.<br>\r\n<br>\r\nHosted by EPFL, the symposium will foster scientific exchange, spark new collaborations, and accelerate progress toward next-generation cell-based therapies, disease models, and synthetic biological innovations.<br>\r\n<br>\r\nJoin us in Lausanne to connect with the global community shaping the future of cell understanding and engineering.<br>\r\n<br>\r\n<strong><a href=\"https://latsis2026.epfl.ch/event/1/\">Abstract submission deadline: September 15, 2026</a><br>\r\n<a href=\"https://latsis2026.epfl.ch/event/1/\">Registration deadline: September 30, 2026</a></strong><br>\r\n<br>\r\n<strong>CALL FOR ABSTRACTS IS OPEN</strong><br>\r\nA few reasons it is worth submitting an abstract:</div>\r\n\r\n<div>\r\n<ul>\r\n\t<li>Direct, in-depth conversations with attendees and our invited speakers</li>\r\n\t<li>A chance to network and spark new collaborations</li>\r\n\t<li>Ideal for sharing ongoing or preliminary results and getting early feedback</li>\r\n\t<li>Possibility to be selected for an abstract talk</li>\r\n\t<li>Eligible for our Best Poster Prize worth CHF 500, voted by symposium participants</li>\r\n</ul>\r\n</div>\r\n<strong>WHY ATTEND</strong>\r\n\r\n<ul>\r\n\t<li> World-class science - 11 invited experts, including speakers from Stanford, Cambridge, the Wellcome Sanger Institute, ETH Zurich, the Allen Institute, and other leading institutions</li>\r\n\t<li> Intimate format - a curated, discussion-driven programme with direct access to speakers</li>\r\n\t<li> Cross-disciplinary by design - connecting computational, experimental, and engineering approaches to cellular states</li>\r\n\t<li> Best poster prize - voted by participants</li>\r\n\t<li> A full conference experience - coffee breaks, lunches, dinner on Day 1, and complimentary access to the museum's exhibition at the close of the symposium</li>\r\n</ul>\r\n<strong>VENUE</strong><br>\r\nThe Olympic Museum is perched on the shores of Lake Geneva, with panoramic views of the Alps. It offers an exceptional setting for scientific exchange and networking.<br>\r\n<br>\r\n<strong>CONFIRMED SPEAKERS INCLUDE</strong>\r\n\r\n<ul>\r\n\t<li> <strong>Gray Camp </strong>- Roche Institute for Translational Bioengineering, Basel</li>\r\n\t<li> <strong> Barbara Engelhardt </strong>- Stanford University</li>\r\n\t<li> <strong>Jeremy Gunawardena</strong> - Pompeu Fabra University</li>\r\n\t<li> <strong>Muzlifah Haniffa </strong>- Wellcome Sanger Institute & University of Cambridge</li>\r\n\t<li><strong> Prisca Liberali</strong> - ETH Zurich & Friedrich Miescher Institute for Biomedical Research</li>\r\n\t<li> <strong> Steve Quake </strong>- Stanford University</li>\r\n\t<li> <strong>Susanne Rafelski</strong> - Allen Institute for Cell Science</li>\r\n\t<li> <strong> Kevin Tsia </strong>- University of Hong Kong</li>\r\n\t<li> <strong>Bo Wang </strong>- University Health Network & University of Toronto</li>\r\n</ul>\r\n<br>\r\n<em>We gratefully acknowledge the support of the Latsis International Foundation, Alithea Genomics, Cytosurge, 10x Genomics, and Stemcell Technologies, whose contributions help make this symposium possible.</em>", "image_description": "In a galaxy not so far, far away… Jakob J. Langer, Postdoctoral researcher, Lutolf Lab.", "creation_date": "2026-03-13T14:52:09", "last_modification_date": "2026-09-07T13:25:04", "link_label": "Registration & abstract submission", "link_url": "https://latsis2026.epfl.ch/event/1/", "canceled": "False", "cancel_reason": "", "place_and_room": "Olympic Museum", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "<a href=\"https://www.epfl.ch/labs/deplanckelab/latsis-symposium-2026/epfl-latsis-symposium-2026-invited-speakers/\">SPEAKERS</a>", "organizer": "LATSIS Symposium 2026 Organizing Committee:<br>\r\nProf. Bart Deplancke, Prof. Maria Brbić and Prof. Giovanni D’Angelo", "contact": "<a href=\"mailto:[email protected]\">[email protected]</a>", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120078/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/111/?format=api", "https://memento.epfl.ch/api/v1/mementos/9/?format=api", "https://memento.epfl.ch/api/v1/mementos/416/?format=api", "https://memento.epfl.ch/api/v1/mementos/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api" ] }, { "id": 71479, "title": "Strategic Deals and Partnerships in Pharma and Medtech [CAS Management in Life Sciences 2027]", "slug": "strategic-deals-and-partnerships-in-pharma-and-med", "event_url": "https://memento.epfl.ch/event/strategic-deals-and-partnerships-in-pharma-and-med", "visual_url": "https://memento.epfl.ch/image/32824/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32824/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32824/max-size.jpg", "lang": "en", "start_date": "2027-01-26", "end_date": "2027-01-28", "start_time": null, "end_time": null, "description": "<strong>Module 1: \"Strategic Deals and Partnerships in Pharma and Medtech\"</strong><br>\r\n<br>\r\nDeals and Partnerships are the lifeblood of the life sciences industry due to the high cost, high risk and long duration of relying on organic growth. This module provides a framework for selecting the most appropriate partners; creating and executing the right types of deals (alliance, joint-venture, outsourcing); and identifying and avoiding potential pitfalls.<br>\r\n<br>\r\n*************<br>\r\n<br>\r\n<strong><u>About the CAS Managament in Life Sciences:</u><br>\r\nLeading multi-disciplinary projects in BioTech, MedTech and Pharma</strong><br>\r\n<br>\r\nThe world of therapeutic development is becoming increasingly complex. Competition is diversifying and innovating across industries, just as new regulations and multi-stakeholder engagements disrupt the competitive landscape. Challenge or opportunity? It is up to you!<br>\r\n<br>\r\nThis program explores the entire development process of therapeutic interventions, from initial planning all the way to commercialization, allowing our participants to deepen their expertise. They also learn the leadership qualities and management tools required to lead multi-disciplinary projects in Biotech, Medtech and Pharma ventures.<br>\r\n<br>\r\nThis Certificate of Advanced Studies (CAS) runs every year, from January to June at the EPFL Campus in Lausanne.\r\n<ul>\r\n\t<li>7 modules</li>\r\n\t<li>Flexible format</li>\r\n\t<li>Part-time</li>\r\n</ul>", "image_description": "", "creation_date": "2026-03-30T09:35:10", "last_modification_date": "2026-06-26T12:13:48", "link_label": "Webpage", "link_url": "http://go.epfl.ch/mls", "canceled": "False", "cancel_reason": "", "place_and_room": "ODY -1 0021", "url_place_and_room": "https://plan.epfl.ch/?room==ODY%20-1%200021", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "", "organizer": "<a href=\"http://executive.epfl.ch\">EPFL Executive Education</a>", "contact": "[email protected]", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "Life Sciences", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120217/", "category": { "id": 4, "code": "DIVERS", "fr_label": "Autres types d’événement", "en_label": "Miscellaneous", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/3/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/437/?format=api" ] }, { "id": 71480, "title": "Intellectual Property Management in Life Sciences [CAS Management in Life Sciences 2027]", "slug": "intellectual-property-management-in-life-sciences", "event_url": "https://memento.epfl.ch/event/intellectual-property-management-in-life-sciences", "visual_url": "https://memento.epfl.ch/image/32825/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32825/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32825/max-size.jpg", "lang": "en", "start_date": "2027-02-16", "end_date": "2027-02-18", "start_time": null, "end_time": null, "description": "<strong>Module 2: Intellectual Property Management in Life Sciences</strong><br>\r\n<br>\r\nInternational intellectual property protection strategies are essential to the success of therapeutic development enterprises. In this module we work through the strategic issues of intellectual property and how patents and trademarks are created, managed and enforced.<br>\r\n<br>\r\n*************<br>\r\n<br>\r\n<strong><u>About the CAS Managament in Life Sciences:</u><br>\r\nLeading multi-disciplinary projects in BioTech, MedTech and Pharma</strong><br>\r\n<br>\r\nThe world of therapeutic development is becoming increasingly complex. Competition is diversifying and innovating across industries, just as new regulations and multi-stakeholder engagements disrupt the competitive landscape. Challenge or opportunity? It is up to you!<br>\r\n<br>\r\nThis program explores the entire development process of therapeutic interventions, from initial planning all the way to commercialization, allowing our participants to deepen their expertise. They also learn the leadership qualities and management tools required to lead multi-disciplinary projects in Biotech, Medtech and Pharma ventures.<br>\r\n<br>\r\nThis Certificate of Advanced Studies (CAS) runs every year, from January to June at the EPFL Campus in Lausanne.\r\n<ul>\r\n\t<li>7 modules</li>\r\n\t<li>Flexible format</li>\r\n\t<li>Part-time</li>\r\n</ul>", "image_description": "", "creation_date": "2026-03-30T09:35:11", "last_modification_date": "2026-06-26T12:14:21", "link_label": "Webpage", "link_url": "http://go.epfl.ch/mls", "canceled": "False", "cancel_reason": "", "place_and_room": "ODY -1 0021", "url_place_and_room": "https://plan.epfl.ch/?room==ODY%20-1%200021", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "", "organizer": "<a href=\"http://executive.epfl.ch\">EPFL Executive Education</a>", "contact": "[email protected]", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "Life Sciences", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120218/", "category": { "id": 4, "code": "DIVERS", "fr_label": "Autres types d’événement", "en_label": "Miscellaneous", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/3/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/437/?format=api" ] }, { "id": 71485, "title": "Managing Data for Value in Life Science [CAS Management in Life Sciences 2027]", "slug": "managing-data-for-value-in-life-science-cas-manage", "event_url": "https://memento.epfl.ch/event/managing-data-for-value-in-life-science-cas-manage", "visual_url": "https://memento.epfl.ch/image/32830/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32830/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32830/max-size.jpg", "lang": "en", "start_date": "2027-03-16", "end_date": "2027-03-18", "start_time": null, "end_time": null, "description": "<strong>Module 3: Managing Data for Value in Life Science</strong><br>\r\n<br>\r\nThe medical devices, diagnostics, pharmaceuticals and biotechnology all depend on smart data management strategies. The Managing Data module shares successful approaches to the many critical data management opportunities & challenges and illustrates how to integrate them using real-life examples.<br>\r\n<br>\r\n*************<br>\r\n<br>\r\n<strong><u>About the CAS Managament in Life Sciences:</u><br>\r\nLeading multi-disciplinary projects in BioTech, MedTech and Pharma</strong><br>\r\n<br>\r\nThe world of therapeutic development is becoming increasingly complex. Competition is diversifying and innovating across industries, just as new regulations and multi-stakeholder engagements disrupt the competitive landscape. Challenge or opportunity? It is up to you!<br>\r\n<br>\r\nThis program explores the entire development process of therapeutic interventions, from initial planning all the way to commercialization, allowing our participants to deepen their expertise. They also learn the leadership qualities and management tools required to lead multi-disciplinary projects in Biotech, Medtech and Pharma ventures.<br>\r\n<br>\r\nThis Certificate of Advanced Studies (CAS) runs every year, from January to June at the EPFL Campus in Lausanne.\r\n<ul>\r\n\t<li>7 modules</li>\r\n\t<li>Flexible format</li>\r\n\t<li>Part-time</li>\r\n</ul>", "image_description": "", "creation_date": "2026-03-30T09:35:14", "last_modification_date": "2026-06-26T12:14:53", "link_label": "Webpage", "link_url": "http://go.epfl.ch/mls", "canceled": "False", "cancel_reason": "", "place_and_room": "ODY -1 0021", "url_place_and_room": "https://plan.epfl.ch/?room==ODY%20-1%200021", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "", "organizer": "<a href=\"http://executive.epfl.ch\">EPFL Executive Education</a>", "contact": "[email protected]", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "Life Sciences", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120223/", "category": { "id": 4, "code": "DIVERS", "fr_label": "Autres types d’événement", "en_label": "Miscellaneous", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/3/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/437/?format=api" ] }, { "id": 71727, "title": "NovoNordisk Fonden – Challenge Programme 2027", "slug": "novonordisk-fonden-challenge-programme-2027", "event_url": "https://memento.epfl.ch/event/novonordisk-fonden-challenge-programme-2027", "visual_url": "https://memento.epfl.ch/image/33051/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33051/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33051/max-size.jpg", "lang": "en", "start_date": "2026-10-07", "end_date": "2026-10-07", "start_time": null, "end_time": null, "description": "<strong>Aim: </strong> The The Novo Nordisk Foundation (NNF) Program aims to support outstanding, collaborative research projects addressing major challenges within human health and the sustainability of society and the planet. The program is designed to enable ambitious, long‑term, interdisciplinary research efforts that bring together leading researchers around a clearly defined scientific challenge within selected thematic areas.<br>\r\n<br>\r\nNNF is pleased to announce the release of the below calls on April, 22 (*):<br>\r\n \r\n<ul>\r\n\t<li><strong><a href=\"https://novonordiskfonden.dk/grant/challenge-programme-2027-advancing-next-generation-amr-diagnostics-for-lower-respiratory-tract-infections/\">Advancing Next Generation AMR Diagnostics for Lower Respiratory Tract Infections</a></strong><br>\r\n\tSupporting interdisciplinary proof‑of‑concept research aimed at developing rapid, accurate and affordable diagnostic solutions for lower respiratory tract infections, with a focus on improving clinical decision‑making and combating antimicrobial resistance.</li>\r\n\t<li><strong><a href=\"https://novonordiskfonden.dk/grant/challenge-programme-2027-heat-and-hypertension-understanding-the-mechanisms-of-interaction/\">Heat and Hypertension – Understanding the Mechanisms of Interaction</a></strong><br>\r\n\tFocusing on mechanistic research to elucidate how heat exposure affects individuals with hypertension, integrating cellular, animal and human studies with the aim of improving prevention, treatment and clinical management during extreme heat events.</li>\r\n\t<li><strong><a href=\"https://novonordiskfonden.dk/grant/challenge-programme-2027-unravelling-electron-transfer-mechanisms-in-hybrid-bio-electrocatalysis/\">Unravelling Electron Transfer Mechanisms in Hybrid Bio‑Electrocatalysis</a></strong><br>\r\n\tSupporting fundamental research to understand electron transfer between biological and synthetic systems, enabling new knowledge relevant for efficient bio‑electrocatalysis and future electro‑biotechnology applications.</li>\r\n\t<li><strong><a href=\"https://novonordiskfonden.dk/grant/challenge-programme-2027-harnessing-novel-earth-abundant-materials-for-sustainable-technologies/\">Harnessing Novel Earth‑Abundant Materials for Sustainable Technologies</a></strong><br>\r\n\tAiming to develop and understand novel materials based on Earth‑abundant elements, supporting sustainable technologies that reduce reliance on scarce or critical resources through interdisciplinary materials science and chemistry research.</li>\r\n</ul>\r\n(*) Applicants are only permitted to submit one proposal as main applicant across all four Challenge Programme 2027 calls.<br>\r\n<br>\r\n<strong>Funding</strong>: up to DKK 30 – 75 million ( ~ CHF 3.7-9.2 million)<br>\r\n<br>\r\n<strong>Duration</strong>: up to 6 years<br>\r\n<br>\r\n<strong>Eligibility:</strong> Applications must be submitted by an established research leader leading a consortium of 2–4 research groups (main applicant plus 1–3 co‑applicants), with the main applicant employed at a European (EU, Schengen Area or UK) host institution. At least one applicant (main or co‑applicant) must be employed at a Danish university, hospital or non‑profit research organisation.<br>\r\n<br>\r\n<strong>How to Apply</strong>: Applications should be submitted using the foundation’s online platform <a href=\"https://norma.novonordiskfonden.dk/\">NORMA</a>. The application process consists of two stages. Stage1 entails a short expression of interest limited to 10,000 characters with a preliminary budget and with a deadline of 07 October 2026. Several shortlisted applicants will be invited to Stage2 (notifications in December 2026), in which the applicants will be asked to submit an application with a detailed project proposal of 30,000 characters. These full proposals will be due on 10 February 2027.<br>\r\n<br>\r\n<strong>Deadline:</strong> 07-October-2026<br>\r\n<br>\r\n<strong>Further information</strong>\r\n\r\n<ul>\r\n\t<li>More detailed information is available via the links embedded in the titles of the individual calls</li>\r\n\t<li>The application portal can be found <a href=\"https://norma.novonordiskfonden.dk/\">here</a></li>\r\n\t<li>For any other questions, please contact the <a href=\"mailto:[email protected]\">Research Office</a></li>\r\n</ul>", "image_description": "", "creation_date": "2026-04-27T15:39:12", "last_modification_date": "2026-04-27T15:39:12", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "", "organizer": "", "contact": "<a href=\"mailto:[email protected]\">Research Office</a>", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120556/", "category": { "id": 16, "code": "PROP", "fr_label": "Appel à proposition", "en_label": "Call for proposal", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api", "https://memento.epfl.ch/api/v1/mementos/140/?format=api" ] } ] }
