Mathematical and computational oncology : third international symposium, ISMCO 2021, virtual event, October 11-13, 2021, proceedings / / George Bebis [and four others], editors

• Pubblicazione: Cham, Switzerland : , : Springer, , [2021]; ©2021
• Descrizione fisica: 1 online resource (91 pages)
• Disciplina: 572.80285
• Soggetto topico: Bioinformatics; Oncology - Data processing
• Persona (resp. second.): BebisGeorge
• Nota di contenuto: Image Classification of Skin Cancer : Using Deep Learning as a Tool for Skin Self-examinations / Kristen Anderson, Sharon S. Hori -- Predictive Signatures for Lung Adenocarcinoma Prognostic Trajectory by Multiomics Data Integration and Ensemble Learning / Hayan Lee, Gilbert Feng, Ed Esplin, Michael Snyder -- Role of Hydrophobicity in Peptide-MHC Binding / Arnav Solanki, Marc Riedel, James Cornette, Julia Udell, Ishaan Koratkar, and George Vasmatzis -- Simulating Cytotoxic T-Lymphocyte and Cancer Cells Interactions : An LSTM-Based Approach to Surrogate an Agent-Based Model / David Bernard, Anthony Kobanda, and Sylvain Cussat-Blanc -- Strategies to Reduce Long-Term Drug Resistance by Considering Effects of Differential Selective Treatments / Tina Ghodsi Asnaashari and Young Hwan Chang -- Improved Geometric Configuration for the Bladder Cancer BCG-Based Immunotherapy Treatment Model / Teddy Lazebnik and Svetlana Bunimovich-Mendrazitsky -- Run for Your Life – An Integrated Virtual Tissue Platform for Incorporating Exercise Oncology into Immunotherapy / Josua Aponte-Serrano and Amit Hagar.
• Titolo autorizzato: Mathematical and computational oncology
• ISBN: 3-030-91241-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996464386203316
• Lo trovi qui: Univ. di Salerno
• Serie: Lecture notes in computer science ; ; 13060.