Mathematical and Computational Oncology
Springer International Publishing (Verlag)
978-3-030-91240-6 (ISBN)
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.
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.
| Erscheinungsdatum | 14.12.2021 |
|---|---|
| Reihe/Serie | Lecture Notes in Bioinformatics | Lecture Notes in Computer Science |
| Zusatzinfo | XXI, 79 p. 33 illus., 31 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 171 g |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Mathematik / Informatik ► Informatik ► Netzwerke | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Informatik ► Weitere Themen ► Hardware | |
| Schlagworte | Applications • Artificial Intelligence • communication channels (information theory) • Communication Systems • Computer Networks • Computer Science • Computer systems • conference proceedings • Education • Engineering • Human-Computer Interaction (HCI) • Informatics • Internet • learning • machine learning • Mathematics • Network Protocols • Neural networks • Research • Signal Processing • Signal to Noise Ratio • Telecommunication networks • Telecommunication Systems • wireless telecommunication systems |
| ISBN-10 | 3-030-91240-X / 303091240X |
| ISBN-13 | 978-3-030-91240-6 / 9783030912406 |
| Zustand | Neuware |
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