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@VirtualPatientEngine

VirtualPatientEngine

Turning the Tide on Pharma's 90% Failure Rate

Next Generation Virtual Patient Engine for Clinical Translation of Drug Candidates

The goal of team VPE is to develop a versatile computational platform that can predict the efficacy of first- or best-in-class drug candidates in virtual patient populations at an unprecedented accuracy, thereby addressing one of the most critical bottlenecks of the pharmaceutical industry today: a 90% failure rate of new drug candidates during clinical development. In partnership with Sanofi, the VPE team will develop innovative artificial intelligence methods to build the virtual patient platform. As a proof-of-concept, the initial platform will focus on chronic immune-mediated diseases such as atopic dermatitis (AD) and inflammatory bowel disease (IBD), where new medication that can address patient heterogeneity is needed.

If this excites you, feel free to reach out to us for potential collaborations and discussions!

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  1. literatureSurvey literatureSurvey Public template

    A template to create your own literature survey engine

    HTML 4 2

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  • literatureSurvey Public template

    A template to create your own literature survey engine

    VirtualPatientEngine/literatureSurvey’s past year of commit activity
    HTML 4 MIT 2 6 0 Updated Sep 17, 2024
  • .github Public
    VirtualPatientEngine/.github’s past year of commit activity
    0 GPL-3.0 0 0 0 Updated Apr 8, 2024

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