
By STEVEN ZECOLA
On December 19th, the Department of Health and Human Services (“HHS”) issued a Request for Information seeking to harness artificial intelligence (“AI”) to deflate health care costs and make America healthy again.
As described herein, AI can be used in many dimensions to help lower healthcare costs and improve care. However, to achieve significant breakthroughs with AI, HHS will need to completely revamp the regulatory approach to drug discovery and development.
Dimension #1. Incorporation of AI into Drug Discovery
The biggest benefit to the healthcare industry’s performance from AI is achievable from drug discovery. Accounting for the costs of failures, the average FDA drug approval costs society almost $3 billion and takes decades to reach the market from its inception in the lab.
In contrast, AI identifies potential treatments much faster than traditional methods by processing vast amounts of biological data, uncovering hidden causal relationships, and generating new actionable insights.
AI is particularly promising for complex, multifactorial conditions – such as neurodegenerative diseases, autism spectrum disorders, and multiple chronic illnesses – where conventional reductionist approaches have failed.
In the short-run, HHS should direct its grants toward AI-generated basic research, with a particular emphasis on the hard-to-solve illnesses. At the same time, the FDA should be putting into place a new approval system for AI-initiated programs to enable breakthrough treatments in a compressed timetable.
Dimension #2. Incorporation of AI into the Drug Development Process
Simply relying on AI for drug discovery, while subjecting its advances to the current approval process would undermine the use of the technology.
Rather, improvements from AI can already be had in fulfilling the exhaustive regulatory documentation requirements, which today add up to as much as 30% of the cost of compliance.
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