LEADER 03696nam 22005895 450 001 9910513590203321 005 20251113192645.0 010 $a3-030-91241-8 024 7 $a10.1007/978-3-030-91241-3 035 $a(MiAaPQ)EBC6825378 035 $a(Au-PeEL)EBL6825378 035 $a(CKB)20120242300041 035 $a(PPN)259384836 035 $a(OCoLC)1289370194 035 $a(DE-He213)978-3-030-91241-3 035 $a(EXLCZ)9920120242300041 100 $a20211211d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMathematical and Computational Oncology $eThird International Symposium, ISMCO 2021, Virtual Event, October 11?13, 2021, Proceedings /$fedited by George Bebis, Terry Gaasterland, Mamoru Kato, Mohammad Kohandel, Kathleen Wilkie 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (91 pages) 225 1 $aLecture Notes in Bioinformatics,$x2366-6331 ;$v13060 311 08$aPrint version: Bebis, George Mathematical and Computational Oncology Cham : Springer International Publishing AG,c2022 9783030912406 327 $aStatistical and Machine Learning Methods for Cancer Research Image Classification of Skin Cancer: Using Deep Learning as a Tool for Skin Self-Examinations -- Predictive Signatures for Lung Adenocarcinoma Prognostic Trajectory by Omics Data Integration and Ensemble Learning -- The Role of Hydrophobicity in Peptide-MHC Binding -- Spatio-temporal tumor modeling and simulation Simulating cytotoxic T-lymphocyte & cancer cells interactions : An LSTM-based approach to surrogate an agent-based model -- General cancer computational biology Strategies to reduce long-term drug resistance by considering effects of differential selective treatments -- Mathematical Modeling for Cancer Research Improved Geometric Configuration for the Bladder Cancer BCG-based Immunotherapy Treatment Model -- Computational methods for anticancer drug development Run for your life ? an integrated virtual tissue platform for incorporating exercise oncology into immunotherapy. 330 $aThis book constitutes the refereed proceedings of the Third International Symposium on Mathematical and Computational Oncology, ISMCO 2021, held in October 2021. Due to COVID-19 pandemic the conference was held virtually. The 3 full papers and 4 short papers presented were carefully reviewed and selected from 20 submissions. The papers are organized in topical sections named: statistical and machine learning methods for cancer research; mathematical modeling for cancer research; spatio-temporal tumor modeling and simulation; general cancer computational biology; mathematical modeling for cancer research; computational methods for anticancer drug development. 410 0$aLecture Notes in Bioinformatics,$x2366-6331 ;$v13060 606 $aComputer vision 606 $aComputer engineering 606 $aComputer networks 606 $aComputer Vision 606 $aComputer Engineering and Networks 606 $aComputer Engineering and Networks 615 0$aComputer vision. 615 0$aComputer engineering. 615 0$aComputer networks. 615 14$aComputer Vision. 615 24$aComputer Engineering and Networks. 615 24$aComputer Engineering and Networks. 676 $a572.80285 702 $aBebis$b George 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910513590203321 996 $aMathematical and computational oncology$92169006 997 $aUNINA