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Leveraging Machine Learning and Genomics in Target Identification and Validation to Tackle Complex Disease Mechanisms

26 Sep 2024
Muir Woods
Target Identification
  • What are some key considerations for implementing machine learning algorithms to handle diverse molecular profiles and multiple disease subtypes?
  • How can leveraging genomic data that can stratify patient populations or uncover molecular signatures inform target identification and validation strategies?
  • How can collaborations between data scientists, computational biologists, translational scientists, and clinicians increase robustness and translational potential of the target identification and validation process?
  • What strategies can be used to validate machine learning driven target predictions in preclinical models and clinical trials?
  • What are some of the main limitations of as well as future directions for integration of machine learning and genomics into target identification and validation?
Industry Expert
Christopher Yohn, Executive Director - TRex Bio