AI Simulation Accelerates Drug Treatments for Diseases like Cancer and Alzheimer's

New AI-based method mimics disease progression at the cellular level, allowing for thousands of virtual drug tests.

AI-powered simulations of diseases are helping researchers accelerate drug discovery, potentially bringing new treatments to patients faster than ever before.

A team led by McGill’s Dr. Jérôme Waldispühl has developed a new AI-based method to mimic how diseases progress at the cellular level, allowing scientists to test thousands of potential drugs virtually before moving to real-world trials.

The technology not only reduces the time and cost involved in finding effective medicines but also helps pinpoint drug candidates most likely to succeed in treating complex diseases like cancer and Alzheimer’s.

The researchers believe this could transform the way pharmaceuticals are developed, by prioritizing the most promising therapies early on.

“Our model can simulate disease progression and test how thousands of drug candidates would interact with the disease.... This could help prioritize the most promising drugs for further testing, saving time and resources in the drug development process.”

— Dr. Jérôme Waldispühl, Professor, School of Computer Science, McGill University

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