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Few-shot learning creates predictive models of drug response that translate from high-throughput screens to individual patients

Jianzhu Ma, Samson Fong, Yunan Luo, Christopher J. Bakkenist, John Paul Shen, Soufiane Mourragui, Lodewyk F.A. Wessels, Marc Hafner, Roded Sharan, Jian Peng, Trey Ideker

2021Nature Cancer186 citationsDOIOpen Access PDF

Topics & Concepts

Computer scienceConvolutional neural networkArtificial intelligenceTransfer of learningMachine learningDrug responseOne shotDeep learningArtificial neural networkExpansiveDrug discoveryThroughputCDK inhibitorDrugComputational biologyBioinformaticsCellBiologyCyclin-dependent kinasePharmacologyComposite materialCell cycleGeneticsMaterials scienceEngineeringMechanical engineeringCompressive strengthTelecommunicationsWirelessCell Image Analysis TechniquesComputational Drug Discovery MethodsAdvanced Fluorescence Microscopy Techniques
Few-shot learning creates predictive models of drug response that translate from high-throughput screens to individual patients | Litcius