IEEE Digital Reality: Power of AI: Pioneering Drug Discovery with Insilico Medicine

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IEEE Digital Reality: Power of AI: Pioneering Drug Discovery with Insilico Medicine


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IEEE Digital Reality: Power of AI: Pioneering Drug Discovery with Insilico Medicine

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Drug discovery is one of the most complex, risky, and lengthy areas of human development. It takes many highly-intelligent and highly-skilled experts in biology, chemistry, and medicine to discover a drug. It is known that artificial intelligence thrives on data, especially on big datasets of high quality. Fortunately, there is a lot of data generated at each step of the drug discovery process, making it a lucrative application for modern AI technologies.

During our webinar on 20 April 2022, participants had the opportunity to learn more about how AI can transform the discovery of medicine. Petrina Kamya, Frank Pun, and Ján Szöllös from Insilico Medicine explained how their AI system, including their biology-solving engine PandaOmics and compound-generating engine Chemistry42, is built on years of modeling large biological, chemical, and textual datasets. The featured speakers presented innovative and refined approaches to expand to other therapeutic areas and find more novel drug candidates that will become future medicines levering AI and ML.

Drug discovery is one of the most complex, risky, and lengthy areas of human development. It takes many highly-intelligent and highly-skilled experts in biology, chemistry, and medicine to discover a drug. It is known that artificial intelligence thrives on data, especially on big datasets of high quality. Fortunately, there is a lot of data generated at each step of the drug discovery process, making it a lucrative application for modern AI technologies.

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