Generable has built a platform to train models that employs machine learning, Bayesian computing, and causal inference to computationally discover, validate, and use disease biomarkers in oncology, cardiology, and neurodegenerative diseases. Generable?s models allow early-stage drug development programs to assess the efficacy of their biomarkers and drugs before starting large-scale, expensive clinical studies.