Project

Artificial Intelligence for Drug Discovery and Clinical Trials

PXHere

Pharmaceutical clinical development is on the verge of a major revolution due to the convergence of large new data sources, the computing power to identify clinically meaningful patterns in the data using efficient artificial intelligence (AI) and machine-learning (ML) algorithms, and regulators willing to embrace this change through new legislation. This perspective summarizes insights and recommendations arising from a series of workshops held at the MIT Media Lab with participation from leaders from the pharmaceutical industry, non-profit foundations, regulators, and academia and technology companies. Effective integration of novel AI and ML architectures to learn from publicly available biomedical and clinical trial datasets, analysis of real world evidence and the necessary regulatory framework for modernizing the clinical development process is discussed. The MIT Media Lab has deployed the Health 0.0 sandbox, powered by advanced ML and secure computing technologies, in a multi-stakeholder ecosystem to develop a new paradigm for future clinical development.

    Pharmaceutical clinical development is on the verge of a major revolution due to the convergence of large new data sources, the computing power to identify clinically meaningful patterns in the data using efficient artificial intelligence (AI) and machine-learning (ML) algorithms, and regulators willing to embrace this change through new legislation. This perspective summarizes insights and recommendations arising from a series of workshops held at the MIT Media Lab with participation from leaders from the pharmaceutical industry, non-profit foundations, regulators, and academia and technology companies. Effective integration of novel AI and ML architectures to learn from publicly available biomedical and clinical trial datasets, analysis of real world evidence and the necessary regulatory framework for modernizing the clinical development process is discussed. The MIT Media Lab has deployed the Health 0.0 sandbox, powered by advanced ML and secure computing technologies, in a multi-stakeholder ecosystem to develop a new paradigm for future clinical development.