E-Book, Englisch, Band 13060, 79 Seiten, eBook
Bebis / Gaasterland / Kato Mathematical and Computational Oncology
1. Auflage 2021
ISBN: 978-3-030-91241-3
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
Third International Symposium, ISMCO 2021, Virtual Event, October 11–13, 2021, Proceedings
E-Book, Englisch, Band 13060, 79 Seiten, eBook
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-030-91241-3
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Statistical 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.