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.