Gini Deshpande , NuMedii

Gini Deshpande

Session

11:50 AM - 12:15 PM

Employing AI to find the Translational Piece for Making Drugs Effective, Validated and Useful in Humans

AI tools are making drug discovery more efficient, but the real win from AI is about achieving a higher rate of translation and success rates from biology to pre-clinical and from pre-clinical to clinical programs. The use cases in this session will cover the use of AI tools in prioritizing drug candidates that will be most effective, validated and useful.

  • Brandon Allgood

    Brandon Allgood CTO and Co-Founder Numerate

    Case Studies: Improving Translation using AI from Biology to Pre-Clinical, and from Pre-Clinical to Clinical Programs

  • Jörg Bentzien

    Jörg Bentzien Research Fellow, Discovery Alkermes, Inc.

    This case study will cover the automation of the Design-Make-Test-Analyze cycle in early drug discovery. The focus will be on how automation can be used to make better decisions and on the concept of automatically self-updating predictive models.


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