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Conference:  Transform X 2022
Authors: Daphne Koller
2022-10-19

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Daphne Koller discusses how Insitro is using machine learning models to predict the outcome of drug development experiments and design novel, safe, and effective therapies.
  • Drug development is becoming more challenging and expensive due to the high failure rate of experiments.
  • Insitro is using high-quality data and machine learning models to predict the outcome of experiments and design novel therapies.
  • The focus is on learning meaningful representations of clinical state using self-supervised machine learning models.
  • Insitro has partnered with pharmaceutical companies to access data on liver disease and used machine learning to predict patient progression.
  • The ultimate goal is to develop a new approach to drug development that helps more people faster and at a lower cost.