Special Seminar : Digital Cancer Twins : From Mechanisms to Clinical Applications
Special Seminar hosted by Freddy Radtke - ISREC-SV
Any PIs or postdocs / students who would be interested in participating in a one-to-one meeting with Prof. Fisher, please contact Prof. Radtke to arrange
Jasmin Fisher Ph.D, FRSB
Professor, Computational Biology, UCL Cancer Institute, London
Our lab develops state-of-the-art computational models and analysis techniques to study cancer evolution and mechanisms of drug resistance to identify better personalised treatments for cancer patients. Our focus is on understanding how cancers evolve through the identification of molecular mechanisms that underpin cell-fate decision programs during both normal development and disease. We have developed an innovative approach called Executable Biology, which is a toolset to simulate and analyse biological mechanisms as if they were computer programs.
Our goal is to determine the mechanistic programs by which oncogenic signalling pathways regulate the onset, progression, maintenance and (when blocked) regression of cancers , using computational modelling of oncogenic signalling networks and how they are linked to cell fate decisions (such as proliferation and cell death).
Any PIs or postdocs / students who would be interested in participating in a one-to-one meeting with Prof. Fisher, please contact Prof. Radtke to arrange
Jasmin Fisher Ph.D, FRSB
Professor, Computational Biology, UCL Cancer Institute, London
Our lab develops state-of-the-art computational models and analysis techniques to study cancer evolution and mechanisms of drug resistance to identify better personalised treatments for cancer patients. Our focus is on understanding how cancers evolve through the identification of molecular mechanisms that underpin cell-fate decision programs during both normal development and disease. We have developed an innovative approach called Executable Biology, which is a toolset to simulate and analyse biological mechanisms as if they were computer programs.
Our goal is to determine the mechanistic programs by which oncogenic signalling pathways regulate the onset, progression, maintenance and (when blocked) regression of cancers , using computational modelling of oncogenic signalling networks and how they are linked to cell fate decisions (such as proliferation and cell death).
Practical information
- Informed public
- Free
Organizer
- Freddy Radtke, Professor, ISREC-SV
Contact
- Lisa Smith, Administrative Assistant