Future of clinical development is on the verge of a major transformation due to convergence
of large new digital data sources, computing power to identify clinically meaningful patterns
in the data using efficient artificial intelligence and machine-learning algorithms, and
regulators embracing this change through new collaborations. This perspective summarizes
insights, recent developments, and recommendations for infusing actionable computational
evidence into clinical development and health care from academy, biotechnology industry …