02637nam 2200445 450 99646438620331620220902094439.03-030-91241-8(MiAaPQ)EBC6825378(Au-PeEL)EBL6825378(CKB)20120242300041(PPN)259384836(EXLCZ)992012024230004120220902d2021 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierMathematical and computational oncology third international symposium, ISMCO 2021, virtual event, October 11-13, 2021, proceedings /George Bebis [and four others], editorsCham, Switzerland :Springer,[2021]©20211 online resource (91 pages)Lecture Notes in Computer Science ;13060Print version: Bebis, George Mathematical and Computational Oncology Cham : Springer International Publishing AG,c2022 9783030912406 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.Lecture notes in computer science ;13060.BioinformaticsCongressesOncologyData processingCongressesBioinformaticsOncologyData processing572.80285Bebis GeorgeMiAaPQMiAaPQMiAaPQBOOK996464386203316Mathematical and computational oncology2169006UNISA