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SUMMARY:Breakthrough T1D – Artificial Intelligence Powered Approaches fo
 r T1D Cell Therapy
DTSTART;VALUE=DATE:20240923
DTSTAMP:20260404T074224Z
UID:a50d83b2f60cdaa399357c5145d57d41919cd8a94a89719426ac5822
CATEGORIES:Call for proposal
DESCRIPTION:Aim: RFA seeks to support research projects aiming to advance
  the development of next generation beta cell replacement therapies for ty
 pe 1 diabetes by leveraging advancements in artificial intelligence (AI) a
 nd machine learning (ML).\n\nExamples of topics pertinent to this call inc
 lude\, but are not limited to:\n\n	Improving the function and/or survival 
 of renewable sources of insulin-producing cells (e.g. stem cell-derived is
 lets).\n	Developing immune protection strategies to prevent rejection of t
 ransplanted cells that do not rely on chronic systemic immunosuppression.\
 n	Establishing methods of predicting transplanted cell survival and functi
 on prior to decline in c-peptide levels or glycaemic control.\n	Implicatio
 ns of a specific therapeutic approach (cell type and protection strategy\,
  site of implantation) for efficacy\, safety and patient selection.\n\nFun
 ding: $750\,000\n\nDuration: 3 years\n\nEligibility: Applications may be s
 ubmitted by domestic (US) and foreign non-profit organizations and public 
 and private entities\, such as universities\, colleges\, hospitals\, labor
 atories\, units of state and local governments and\, where relevant\, elig
 ible agencies of the federal government.\n\nApplicants must hold an MD\, D
 MD\, DVM\, PhD\, or equivalent degree\, and hold a faculty position or equ
 ivalent at a college\, university\, medical school or other research facil
 ity. There are no citizenship requirements\n\nHow to Apply: Applicants sho
 uld submit an LOI\, [2 pages maximum] online via RMS360 to be considered f
 or a full proposal request. The LOI template provided on the RMS360 websit
 e must be used to complete the application to be considered for a full pro
 posal request.\n\nDeadline:\n\n\n	Letter of Intent: 23 September 2024 (ou
 tcome notification: 8 October)\n	Full proposal: 5 November 2024\n\nFurther
  information\n\n\n	More information about the call is available here.\n	T
 he proposal should be submitted on the online portal RMS360.\n	For any oth
 er questions\, please contact the Research Office.\n
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STATUS:CONFIRMED
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