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Deep Transfer Learning Approach for Automatic Recognition of Drug Toxicity and Inhibition of SARS-CoV-2.
Werner, Julia; Kronberg, Raphael M; Stachura, Pawel; Ostermann, Philipp N; Müller, Lisa; Schaal, Heiner; Bhatia, Sanil; Kather, Jakob N; Borkhardt, Arndt; Pandyra, Aleksandra A; Lang, Karl S; Lang, Philipp A.
Afiliación
  • Werner J; Department of Molecular Medicine II, Medical Faculty, Heinrich-Heine-University, 40225 Düsseldorf, Germany.
  • Kronberg RM; Department of Molecular Medicine II, Medical Faculty, Heinrich-Heine-University, 40225 Düsseldorf, Germany.
  • Stachura P; Mathematical Modelling of Biological Systems, Heinrich-Heine-University, 40225 Düsseldorf, Germany.
  • Ostermann PN; Department of Molecular Medicine II, Medical Faculty, Heinrich-Heine-University, 40225 Düsseldorf, Germany.
  • Müller L; Institute of Virology, Medical Faculty, Heinrich-Heine-University, 40225 Düsseldorf, Germany.
  • Schaal H; Institute of Virology, Medical Faculty, Heinrich-Heine-University, 40225 Düsseldorf, Germany.
  • Bhatia S; Institute of Virology, Medical Faculty, Heinrich-Heine-University, 40225 Düsseldorf, Germany.
  • Kather JN; Department of Pediatric Oncology, Hematology and Clinical Immunology, Medical Faculty, Center of Child and Adolescent Health, Heinrich-Heine-University, 40225 Düsseldorf, Germany.
  • Borkhardt A; Department of Medicine III, University Hospital RWTH Aachen, 52074 Aachen, Germany.
  • Pandyra AA; Department of Pediatric Oncology, Hematology and Clinical Immunology, Medical Faculty, Center of Child and Adolescent Health, Heinrich-Heine-University, 40225 Düsseldorf, Germany.
  • Lang KS; Department of Pediatric Oncology, Hematology and Clinical Immunology, Medical Faculty, Center of Child and Adolescent Health, Heinrich-Heine-University, 40225 Düsseldorf, Germany.
  • Lang PA; Institute of Immunology, Medical Faculty, University of Duisburg-Essen, 45147 Essen, Germany.
Viruses ; 13(4)2021 04 02.
Article en En | MEDLINE | ID: mdl-33918368
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Antivirales / Evaluación Preclínica de Medicamentos / Efectos Colaterales y Reacciones Adversas Relacionados con Medicamentos / Aprendizaje Automático / Aprendizaje Profundo / SARS-CoV-2 Límite: Animals Idioma: En Revista: Viruses Año: 2021 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Suiza
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Antivirales / Evaluación Preclínica de Medicamentos / Efectos Colaterales y Reacciones Adversas Relacionados con Medicamentos / Aprendizaje Automático / Aprendizaje Profundo / SARS-CoV-2 Límite: Animals Idioma: En Revista: Viruses Año: 2021 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Suiza