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BioRender Template
Target Identification in AI-Drug Discovery
Creator
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Description
This figure shows how AI-driven drug discovery integrates diverse biological datasets to identify optimal therapeutic targets. Data from tissue expression, human genetics, biomedical literature via large language models, and in silico perturbations converge to nominate target candidates.
This template is adapted from Dr. Jeremy Jenkins' keynote presentation at BioRender's virtual event, 'Mastering the AI Era: Exclusive Insights from Novartis, MIT & Top Biotech Leaders'.
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