Mathematical and Computational Oncology - Third International Symposium, ISMCO 2021, Virtual Event, October 11-13, 2021, Proceedings

This 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.

List of contents

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.

Product details

• Assisted by: George Bebis (Editor), Terr Gaasterland (Editor), Terry Gaasterland (Editor), Mamoru Kato (Editor), Mamoru Kato et al (Editor), Mohammad Kohandel (Editor), Kathleen Wilkie (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.03.2022
• EAN: 9783030912406
• ISBN: 978-3-0-3091240-6
• No. of pages: 79
• Dimensions: 155 mm x 5 mm x 235 mm
• Illustrations: XXI, 79 p. 33 illus., 31 illus. in color.
• Series: Lecture Notes in Computer Science; Lecture Notes in Bioinformatics
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > Application software