Transforming 21st century clinical trials and deployment of applied ML in clinical settings
Enabling the pursuit of early detection of disease and novel drug discovery through the development and deployment of Causal Inference and Discovery algorithms .
Enhancing clinician decision-making with scalable data-integration, real-time feedback and predictive analytics
Exploring the ‘known unknowns’ of medicine, cancer and complex diseases with causal reinforcement learning and Bayesian machine learning
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