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AI-driven research identifies pulmonary fibrosis target and inhibitor

Deep learning algorithms have enabled the discovery of molecular structures of interest in biomedicine to design treatments against aggressive diseases such as idiopathic pulmonary fibrosis (IPF). Scientists at Insilico Medicine Inc. selected a target for IPF using artificial intelligence (AI), then designed an inhibitor to block it, and tested it in vitro, in vivo, and in clinical trials.

Scientists-at-insilico-medicine-inc , Insilico-medicine , Bioworld-science , Respiratory , Insilico-medicine-inc- , Idiopathic-pulmonary-fibrosis , Tnik , Tnik-inhibitors , Artificial-intelligence , Drug-design , Rug-delivery-and-technologies