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3rd ISMCO 2021: Virtual Event

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George Bebis, Terry Gaasterland, Mamoru Kato, Mohammad Kohandel, Kathleen P. Wilkie:
Mathematical and Computational Oncology - Third International Symposium, ISMCO 2021, Virtual Event, October 11-13, 2021, Proceedings. Lecture Notes in Computer Science 13060, Springer 2021, ISBN 978-3-030-91240-6

Statistical and Machine Learning Methods for Cancer Research

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Kristen Anderson, Sharon S. Hori:
Image Classification of Skin Cancer: Using Deep Learning as a Tool for Skin Self-examinations. 3-8
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Hayan Lee, Gilbert Feng, Ed Esplin, Michael P. Snyder:
Predictive Signatures for Lung Adenocarcinoma Prognostic Trajectory by Multiomics Data Integration and Ensemble Learning. 9-23
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Arnav Solanki, Marc D. Riedel, James L. Cornette, Julia Udell, Ishaan Koratkar, George Vasmatzis:
The Role of Hydrophobicity in Peptide-MHC Binding. 24-37

Spatio-Temporal Tumor Modeling and Simulation

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David Bernard, Anthony Kobanda, Sylvain Cussat-Blanc:
Simulating Cytotoxic T-Lymphocyte and Cancer Cells Interactions: An LSTM-Based Approach to Surrogate an Agent-Based Model. 41-46

General Cancer Computational Biology

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Tina Ghodsi Asnaashari, Young Hwan Chang:
Strategies to Reduce Long-Term Drug Resistance by Considering Effects of Differential Selective Treatments. 49-60

Mathematical Modeling for Cancer Research

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Teddy Lazebnik, Svetlana Bunimovich-Mendrazitsky:
Improved Geometric Configuration for the Bladder Cancer BCG-Based Immunotherapy Treatment Model. 63-67

Computational Methods for Anticancer Drug Development

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Josua Aponte-Serrano, Amit Hagar:
Run for Your Life - An Integrated Virtual Tissue Platform for Incorporating Exercise Oncology into Immunotherapy. 71-77

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