Congress should increase public funding for initiatives such as ARPA-H’s programs to enhance AI-enabled drug discovery, NIH’s Bridge2AI Program to accelerate AI adoption in biomedical research, and NSF’s TIP support of AI-enabled platforms.

To Do: Accelerate AI Adoption in Biopharma Research

Congress should fund NIH’s “All of Us” research program to improve the representativeness of datasets used in biomedical research.

To Do: Improve the Datasets Needed for Biomedical Research

ITIF's Center for Data Innovation released a new report exploring opportunities to accelerate data-driven innovation in drug development and hosted a panel discussion about the ways data can make drug development faster, more efficient, and lead to new cures.

Accelerating Data-Driven Drug Development

Congress should fund and direct the National Science Foundation (NSF) to create a competitive AI fellowship program for at least 1,000 computer science students annually.

To Do: Expand Investments in AI Talent

Policymakers should recognize that the potential of data-driven drug development is crucial to the well-being of Americans as well as U.S. competitiveness, and develop policies to accelerate this transformation.

The Promise of Data-Driven Drug Development

Congress should pass the Privacy Enhancing Technology Research Act mandating NSF to support research into privacy-enhancing technologies and directing OSTP to coordinate efforts with other federal agencies to accelerate the technologies’ development, deployment, and adoption.

To Do: Pass the Privacy Enhancing Technology Research Act

AI can reduce the time it takes to synthesize and screen new drugs by 40 percent to 50 percent, reducing costs in those parts of the research process by as much as $26 billion annually.

Fact of the Week: Artificial Intelligence Can Save Pharmaceutical Companies Almost $54 Billion in R&D Costs Each Year

The administration and Congress should establish a joint industry-university-government R&D partnership to reduce the cost of drug development and production.

To Do: Establish an R&D Partnership for New Drugs

Join ITIF's Center for Data Innovation for a panel discussion with leaders in medical research, medical regulation, and pharmaceutical development for a discussion on the future of data-driven medicine and how European policymakers can support health data research initiatives.

To Do: Invest in AI and Data Science Training for Drug Development

Recommendation

Details

Editors’ Recommendations

Harnessing AI to Accelerate Innovation in the Biopharmaceutical Industry

Related

To Do: Accelerate AI Adoption in Biopharma Research

To Do: Improve the Datasets Needed for Biomedical Research

Accelerating Data-Driven Drug Development