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Artificial Intelligence Has Developed A Treatment For Cancer In 30 Days



AI Has Now Developed A Treatment For Cancer In 30 Days & Can Predict Patient's Survival Rate

AI Has Now Developed A Treatment For Cancer In 30 Days & Can Predict Patient’s Survival Rate

Artificial intelligence has developed a treatment for cancer in just 30 days and can predict a patient’s survival rate. In a new study published in the journal Chemical Science, researchers at the University of Toronto along with Insilico Medicine developed a potential treatment for hepatocellular carcinoma (HCC) with an AI drug discovery platform called Pharma.AI.

HCC is the most common type of liver cancer and occurs when a tumor grows on the liver, according to Cleveland Clinic.

Researchers applied AlphaFold, an AI-powered protein structure database, to Pharma.AI to uncover a novel target — a previously unknown treatment pathway — for cancer and developed a “novel hit molecule” that could bind to that target without aid.

The creation of the potential drug was accomplished in just 30 days from the selection of the target and after synthesizing just seven compounds.

After a second round of generating compounds, they discovered a more potent hit molecule — but any potential drug would need to go through clinical trials before widespread use.

“While the world was fascinated with advances in generative AI in art and language, our generative AI algorithms managed to design potent inhibitors of a target with an AlphaFold-derived structure,” Alex Zhavoronkov, founder and CEO of Insilico medicine, said in a statement.

AI is rapidly changing the way drugs and medicine are discovered and developed, as the traditional method of trial and error is slow, expensive and limits the scope of exploration.

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