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Mathematical and Computational Oncology

Third International Symposium, ISMCO 2021, Virtual Event, October 11–13, 2021, Proceedings

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. George Bebis

    1. University of Nevada Reno, Reno, USA

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  2. Terry Gaasterland

    1. Scripps Institution of Oceanography, Scripps Genome Center, San Diego, USA

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  3. Mamoru Kato

    1. National Cancer Center Japan, Tokyo, Japan

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  4. Mohammad Kohandel

    1. Department of Applied Mathematics, University of Waterloo, Waterloo, Canada

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  5. Kathleen Wilkie

    1. Ryerson University, Toronto, Canada

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13060)

Part of the book sub series: Lecture Notes in Bioinformatics (LNBI)

Included in the following conference series:

Conference proceedings info: ISMCO 2021.

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Table of contents (7 papers)

  1. Front Matter

    Pages i-xxi
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  2. Statistical and Machine Learning Methods for Cancer Research

    1. Front Matter

      Pages 1-1
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    2. Image Classification of Skin Cancer: Using Deep Learning as a Tool for Skin Self-examinations

      • Kristen Anderson, Sharon S. Hori
      Pages 3-8

    3. Predictive Signatures for Lung Adenocarcinoma Prognostic Trajectory by Multiomics Data Integration and Ensemble Learning

      • Hayan Lee, Gilbert Feng, Ed Esplin, Michael Snyder
      Pages 9-23

    4. The Role of Hydrophobicity in Peptide-MHC Binding

      • Arnav Solanki, Marc Riedel, James Cornette, Julia Udell, Ishaan Koratkar, George Vasmatzis
      Pages 24-37

  3. Spatio-Temporal Tumor Modeling and Simulation

    1. Front Matter

      Pages 39-39
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    2. Simulating Cytotoxic T-Lymphocyte and Cancer Cells Interactions: An LSTM-Based Approach to Surrogate an Agent-Based Model

      • David Bernard, Anthony Kobanda, Sylvain Cussat-Blanc
      Pages 41-46

  4. General Cancer Computational Biology

    1. Front Matter

      Pages 47-47
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    2. Strategies to Reduce Long-Term Drug Resistance by Considering Effects of Differential Selective Treatments

      • Tina Ghodsi Asnaashari, Young Hwan Chang
      Pages 49-60

  5. Mathematical Modeling for Cancer Research

    1. Front Matter

      Pages 61-61
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    2. Improved Geometric Configuration for the Bladder Cancer BCG-Based Immunotherapy Treatment Model

      • Teddy Lazebnik, Svetlana Bunimovich-Mendrazitsky
      Pages 63-67

  6. Computational Methods for Anticancer Drug Development

    1. Front Matter

      Pages 69-69
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    2. Run for Your Life – An Integrated Virtual Tissue Platform for Incorporating Exercise Oncology into Immunotherapy

      • Josua Aponte-Serrano, Amit Hagar
      Pages 71-77

  7. Back Matter

    Pages 79-79
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Other volumes

  1. Mathematical and Computational Oncology

Keywords

About this book

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.

Editors and Affiliations

  • University of Nevada Reno, Reno, USA

    George Bebis

  • Scripps Institution of Oceanography, Scripps Genome Center, San Diego, USA

    Terry Gaasterland

  • National Cancer Center Japan, Tokyo, Japan

    Mamoru Kato

  • Department of Applied Mathematics, University of Waterloo, Waterloo, Canada

    Mohammad Kohandel

  • Ryerson University, Toronto, Canada

    Kathleen Wilkie

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