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Combination Strategies for Immune-Checkpoint Blockade and Response Prediction by Artificial Intelligence.
Huemer, Florian; Leisch, Michael; Geisberger, Roland; Melchardt, Thomas; Rinnerthaler, Gabriel; Zaborsky, Nadja; Greil, Richard.
Afiliación
  • Huemer F; Department of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology, Infectiology and Rheumatology, Oncologic Center, Paracelsus Medical University, 5020 Salzburg, Austria.
  • Leisch M; Department of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology, Infectiology and Rheumatology, Oncologic Center, Paracelsus Medical University, 5020 Salzburg, Austria.
  • Geisberger R; Salzburg Cancer Research Institute-Laboratory for Immunological and Molecular Cancer Research (SCRI-LIMCR), 5020 Salzburg, Austria.
  • Melchardt T; Department of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology, Infectiology and Rheumatology, Oncologic Center, Paracelsus Medical University, 5020 Salzburg, Austria.
  • Rinnerthaler G; Department of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology, Infectiology and Rheumatology, Oncologic Center, Paracelsus Medical University, 5020 Salzburg, Austria.
  • Zaborsky N; Cancer Cluster Salzburg, 5020 Salzburg, Austria.
  • Greil R; Salzburg Cancer Research Institute-Laboratory for Immunological and Molecular Cancer Research (SCRI-LIMCR), 5020 Salzburg, Austria.
Int J Mol Sci ; 21(8)2020 Apr 19.
Article en En | MEDLINE | ID: mdl-32325898
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Antineoplásicos Inmunológicos / Inhibidores de Puntos de Control Inmunológico Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Límite: Animals / Humans Idioma: En Revista: Int J Mol Sci Año: 2020 Tipo del documento: Article País de afiliación: Austria Pais de publicación: Suiza
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Antineoplásicos Inmunológicos / Inhibidores de Puntos de Control Inmunológico Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Límite: Animals / Humans Idioma: En Revista: Int J Mol Sci Año: 2020 Tipo del documento: Article País de afiliación: Austria Pais de publicación: Suiza