Council Post: How Machine Learning And AI Could Solve Drug Shortages

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Although AI’s presence on the public stage has become more prevalent in just the past year, it has been used in the medical field for more than four decades.

have been approved by the FDA. But that doesn’t mean we should abolish regulatory approval, which exists to ensure that drugs are both safe and effective. What it means is that we need a new way to think about drug development.Although AI’s presence on the public stage has become more prevalent in just the past year, it has been used in the medical field for. And recently, several companies have begun using it to accelerate drug development and discovery and make it more efficient.

—from vetting for feasibility and data availability to building algorithms and models to clinical implementation and application. This work is helping to de-risk the experimentation process and reduce errors. This can potentially significantly speed up the drug development pipeline, which currently lasts somewhere between 10 and 12 years if the therapeutic doesn’t fail somewhere along the line. The faster new treatments get to the marketplace, the faster physicians and patients will have more options to choose from.

 

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