New research shows an AI-powered system can develop potential new drugs in just 3 weeks

As drug development becomes more costly, big pharma will continue looking for novel ways to keep costs low and reduce time to market.

Apart from AI, big pharma companies are also turning to genetic data to help them more easily identify promising treatments. We've begun to see major pharma companies partnering with genetic testing firms to assist with more precise drug development.exclusive agreement to use its troves of consumer genetic data to codevelop drugs with pharma giant GSK.

But I would peg AI as the digital health innovation likely to have the biggest impact on drug development. Two things give me reason to believe that AI offers greater potential savings than genetics when it comes to drug development: the huge computational power afforded by AI and the complexity of genetic interactions as they relate to disease.

AI may not be outperforming traditional research methods just yet, but as companies become more familiar with the tech, I only expect research outcomes to improve. And AI systems like Insilico's could give pharma partners a huge head start — while competitors may still be manually scouring medical research to come up with new ideas, research teams assisted by AI algorithms could be well on their way to testing potential new treatments.

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