Multiscale Modeling of Cancer

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Author :
Publisher : Cambridge University Press
ISBN 13 : 1139491504
Total Pages : 299 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Multiscale Modeling of Cancer by : Vittorio Cristini

Download or read book Multiscale Modeling of Cancer written by Vittorio Cristini and published by Cambridge University Press. This book was released on 2010-09-09 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical modeling, analysis and simulation are set to play crucial roles in explaining tumor behavior, and the uncontrolled growth of cancer cells over multiple time and spatial scales. This book, the first to integrate state-of-the-art numerical techniques with experimental data, provides an in-depth assessment of tumor cell modeling at multiple scales. The first part of the text presents a detailed biological background with an examination of single-phase and multi-phase continuum tumor modeling, discrete cell modeling, and hybrid continuum-discrete modeling. In the final two chapters, the authors guide the reader through problem-based illustrations and case studies of brain and breast cancer, to demonstrate the future potential of modeling in cancer research. This book has wide interdisciplinary appeal and is a valuable resource for mathematical biologists, biomedical engineers and clinical cancer research communities wishing to understand this emerging field.

Multiscale Cancer Modeling

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Publisher : CRC Press
ISBN 13 : 9781439814420
Total Pages : 484 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Multiscale Cancer Modeling by : Thomas S. Deisboeck

Download or read book Multiscale Cancer Modeling written by Thomas S. Deisboeck and published by CRC Press. This book was released on 2010-12-08 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cancer is a complex disease process that spans multiple scales in space and time. Driven by cutting-edge mathematical and computational techniques, in silico biology provides powerful tools to investigate the mechanistic relationships of genes, cells, and tissues. It enables the creation of experimentally testable hypotheses, the integration of data across scales, and the prediction of tumor progression and treatment outcome (in silico oncology). Drawing on an interdisciplinary group of distinguished international experts, Multiscale Cancer Modeling discusses the scientific and technical expertise necessary to conduct innovative cancer modeling research across scales. It presents contributions from some of the top in silico modeling groups in the United States and Europe. The ultimate goal of multiscale modeling and simulation approaches is their use in clinical practice, such as supporting patient-specific treatment optimization. This volume covers state-of-the-art methods of multiscale cancer modeling and addresses the field’s potential as well as future challenges. It encourages collaborations among researchers in various disciplines to achieve breakthroughs in cancer modeling.

An Introduction to Physical Oncology

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Publisher : CRC Press
ISBN 13 : 1315356880
Total Pages : 303 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis An Introduction to Physical Oncology by : Vittorio Cristini

Download or read book An Introduction to Physical Oncology written by Vittorio Cristini and published by CRC Press. This book was released on 2017-06-26 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: Physical oncology has the potential to revolutionize cancer research and treatment. The fundamental rationale behind this approach is that physical processes, such as transport mechanisms for drug molecules within tissue and forces exchanged by cancer cells with tissue, may play an equally important role as biological processes in influencing progression and treatment outcome. This book introduces the emerging field of physical oncology to a general audience, with a focus on recent breakthroughs that help in the design and discovery of more effective cancer treatments. It describes how novel mathematical models of physical transport processes incorporate patient tissue and imaging data routinely produced in the clinic to predict the efficacy of many cancer treatment approaches, including chemotherapy and radiation therapy. By helping to identify which therapies would be most beneficial for an individual patient, and quantifying their effects prior to actual implementation in the clinic, physical oncology allows doctors to design treatment regimens customized to each patient’s clinical needs, significantly altering the current clinical approach to cancer treatment and improving the outcomes for patients.

Cell Mechanics

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Publisher : CRC Press
ISBN 13 : 9781420094558
Total Pages : 482 pages
Book Rating : 4.0/5 (945 download)

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Book Synopsis Cell Mechanics by : Arnaud Chauvière

Download or read book Cell Mechanics written by Arnaud Chauvière and published by CRC Press. This book was released on 2010-01-27 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ubiquitous and fundamental in cell mechanics, multiscale problems can arise in the growth of tumors, embryogenesis, tissue engineering, and more. Cell Mechanics: From Single Scale-Based Models to Multiscale Modeling brings together new insight and research on mechanical, mathematical, physical, and biological approaches for simulating the behavior of cells, specifically tumor cells. In the first part of the text, the book discusses the powerful tool of microrheology for investigating cell mechanical properties, multiphysics and multiscale approaches for studying intracellular mechanisms in cell motility, and the role of subcellular effects involving certain genes for inducing cell motility in cancer. Focusing on models based on physical, mathematical, and computational approaches, the second section develops tools for describing the complex interplay of cell adhesion molecules and the dynamic evolution of the cell cytoskeleton. The third part explores cell interactions with the environment, particularly the role of external mechanical forces and their effects on cell behavior. The final part presents innovative models of multicellular systems for developmental biology, cancer, and embryogenesis. This book collects novel methods to apply to cells and tissues through a multiscale approach. It presents numerous existing tools while stimulating the discovery of new approaches that can lead to more effective and accurate predictions of pathologies.

Selected Topics in Cancer Modeling

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Publisher : Springer Science & Business Media
ISBN 13 : 0817647139
Total Pages : 481 pages
Book Rating : 4.8/5 (176 download)

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Book Synopsis Selected Topics in Cancer Modeling by : Nicola Bellomo

Download or read book Selected Topics in Cancer Modeling written by Nicola Bellomo and published by Springer Science & Business Media. This book was released on 2008-12-10 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collection of selected chapters offers a comprehensive overview of state-of-the-art mathematical methods and tools for modeling and analyzing cancer phenomena. Topics covered include stochastic evolutionary models of cancer initiation and progression, tumor cords and their response to anticancer agents, and immune competition in tumor progression and prevention. The complexity of modeling living matter requires the development of new mathematical methods and ideas. This volume, written by first-rate researchers in the field of mathematical biology, is one of the first steps in that direction.

Cellular Potts Models

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Publisher : CRC Press
ISBN 13 : 1466514795
Total Pages : 300 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Cellular Potts Models by : Marco Scianna

Download or read book Cellular Potts Models written by Marco Scianna and published by CRC Press. This book was released on 2013-03-26 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work shows how the cellular Potts model can be used as a framework for model building and how extended models can achieve even better biological practicality, accuracy, and predictive power. It focuses on ways to integrate and interface the basic cellular Potts model at the mesoscopic scale with approaches that accurately model microscopic dynamics. These extensions are designed to create a nested and hybrid environment, where the evolution of a biological system is realistically driven by the constant interplay and flux of information between the different levels of description.

Selected Topics in Cancer Modeling

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Publisher : Birkhäuser
ISBN 13 : 9780817647124
Total Pages : 473 pages
Book Rating : 4.6/5 (471 download)

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Book Synopsis Selected Topics in Cancer Modeling by : Nicola Bellomo

Download or read book Selected Topics in Cancer Modeling written by Nicola Bellomo and published by Birkhäuser. This book was released on 2008-09-25 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collection of selected chapters offers a comprehensive overview of state-of-the-art mathematical methods and tools for modeling and analyzing cancer phenomena. Topics covered include stochastic evolutionary models of cancer initiation and progression, tumor cords and their response to anticancer agents, and immune competition in tumor progression and prevention. The complexity of modeling living matter requires the development of new mathematical methods and ideas. This volume, written by first-rate researchers in the field of mathematical biology, is one of the first steps in that direction.

Modeling Tumor Vasculature

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Publisher : Springer Science & Business Media
ISBN 13 : 146140052X
Total Pages : 411 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Modeling Tumor Vasculature by : Trachette L. Jackson

Download or read book Modeling Tumor Vasculature written by Trachette L. Jackson and published by Springer Science & Business Media. This book was released on 2011-11-23 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: To profoundly understand biology and harness its intricacies for human benefit and the mitigation of human harm requires cross-disciplinary approaches that incorporate sophisticated computational and mathematical modeling techniques. These integrative strategies are essential to achieve rapid and significant progress in issues, in health and disease, which span molecular, cellular and tissue levels. The use of mathematical models to describe various aspects of tumor growth has a very long history, dating back over six decades. Recently, however, experimental and computational advances have improved our in the understanding of how processes act at multiple scales to mediate the development of tumor vasculature and drive the advancement of cancer. This book will showcase the development and utilization of new computational and mathematical approaches to address multiscale challenges associated with tumor vascular development. In Part I: Cell Signaling and Molecular Aspects of Tumor Blood Vessel Formation, it will be come clear that mathematical modeling can help to biochemically and biomechanically phenotype one of the most important cell types involved in cancer progression: vascular endothelial cells. When subverted by the tumor modulated environment, vascular endothelial cells form a new vascular supply capable of nourishing and translocating cancer cells to other tissues. The models in Part I illustrate the importance of quantitative approaches for gaining a deeper understanding of how normal and abnormal aspects of signal integration culminate in the cell proliferation, migration, and survival decisions that result in pathological tumor angiogenesis. The focus of Part II is the angiogenesis cascade and all of its complexities. Successful angiogenesis is mediated by the intricate interplay between biochemical and biomechanical mechanisms, including cell-cell and cell-matrix interactions, cell surface receptor binding, and intracellular signal transduction. A major challenge facing the cancer research community is to integrate known information in a way that improves our understanding of the principal underpinnings driving tumor angiogenesis and that will advance efforts aimed at the development of new therapies for treating cancer. The chapters in Part II will highlight several mathematical and computational approaches for that can potentially address this challenge. While the first two thirds of the book’s chapters demonstrate how important insights can be gained by studying cell signaling and vascular morphology and function, the series of chapters in Part III: Whole Organ Modeling of Tumor Growth and Vasculature, will integrate vasculature development with tumor growth dynamics. These two processes strongly depend on one another in ways that can only be theoretically investigated by biophysical approaches that cut across several levels of biological organization and describe both the tumor and the developing vasculature as they co-evolve. The purpose of this edited volume is not to provide a comprehensive review of all modeling efforts that address tumor vascular modeling; instead, a variety of interesting and innovative mathematical modeling approaches for understanding the development and effects of tumor vasculature are highlighted in order to illustrate some of the emerging trends in the field.

Mathematical Oncology 2013

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Publisher : Springer
ISBN 13 : 1493904582
Total Pages : 334 pages
Book Rating : 4.4/5 (939 download)

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Book Synopsis Mathematical Oncology 2013 by : Alberto d'Onofrio

Download or read book Mathematical Oncology 2013 written by Alberto d'Onofrio and published by Springer. This book was released on 2014-10-16 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: With chapters on free boundaries, constitutive equations, stochastic dynamics, nonlinear diffusion–consumption, structured populations, and applications of optimal control theory, this volume presents the most significant recent results in the field of mathematical oncology. It highlights the work of world-class research teams, and explores how different researchers approach the same problem in various ways. Tumors are complex entities that present numerous challenges to the mathematical modeler. First and foremost, they grow. Thus their spatial mean field description involves a free boundary problem. Second, their interiors should be modeled as nontrivial porous media using constitutive equations. Third, at the end of anti-cancer therapy, a small number of malignant cells remain, making the post-treatment dynamics inherently stochastic. Fourth, the growth parameters of macroscopic tumors are non-constant, as are the parameters of anti-tumor therapies. Changes in these parameters may induce phenomena that are mathematically equivalent to phase transitions. Fifth, tumor vascular growth is random and self-similar. Finally, the drugs used in chemotherapy diffuse and are taken up by the cells in nonlinear ways. Mathematical Oncology 2013 will appeal to graduate students and researchers in biomathematics, computational and theoretical biology, biophysics, and bioengineering.

Bioinformatics and Computational Biology

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Publisher : Springer
ISBN 13 : 3642007279
Total Pages : 450 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Bioinformatics and Computational Biology by : Sanguthevar Rajasekaran

Download or read book Bioinformatics and Computational Biology written by Sanguthevar Rajasekaran and published by Springer. This book was released on 2009-04-22 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International on Bioinformatics and Computational Biology, BICoB 2007, held in New Orleans, LA, USA, in April 2007. The 30 revised full papers presented together with 10 invited lectures were carefully reviewed and selected from 72 initial submissions. The papers address current research in the area of bioinformatics and computational biology fostering the advancement of computing techniques and their application to life sciences in topics such as genome analysis sequence analysis, phylogenetics, structural bioinformatics, analysis of high-throughput biological data, genetics and population analysis, as well as systems biology.

Cancer Modelling and Simulation

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Publisher : CRC Press
ISBN 13 : 9780203494899
Total Pages : 456 pages
Book Rating : 4.4/5 (948 download)

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Book Synopsis Cancer Modelling and Simulation by : Luigi Preziosi

Download or read book Cancer Modelling and Simulation written by Luigi Preziosi and published by CRC Press. This book was released on 2003-06-18 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding how cancer tumours develop and spread is vital for finding treatments and cures. Cancer Modelling and Simulation demonstrates how mathematical modelling and computer simulation techniques are used to discover and gain insight into the dynamics of tumour development and growth. It highlights the benefits of tumour modelling, such as discovering optimal tumour therapy schedules, identifying the most promising candidates for further clinical investigation, and reducing the number of animal experiments. By examining the analytical, mathematical, and biological aspects of tumour growth and modelling, the book provides a common language and knowledge for professionals in several disciplines.

Multiscale Models in Mechano and Tumor Biology

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Publisher : Springer
ISBN 13 : 3319733710
Total Pages : 195 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Multiscale Models in Mechano and Tumor Biology by : Alf Gerisch

Download or read book Multiscale Models in Mechano and Tumor Biology written by Alf Gerisch and published by Springer. This book was released on 2018-03-16 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents and discusses the state of the art and future perspectives in mathematical modeling and homogenization techniques with the focus on addressing key physiological issues in the context of multiphase healthy and malignant biological materials. The highly interdisciplinary content brings together contributions from scientists with complementary areas of expertise, such as pure and applied mathematicians, engineers, and biophysicists. The book also features the lecture notes from a half-day introductory course on asymptotic homogenization. These notes are suitable for undergraduate mathematics or physics students, while the other chapters are aimed at graduate students and researchers.

GeNeDis 2020

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Publisher : Springer Nature
ISBN 13 : 3030787753
Total Pages : 288 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis GeNeDis 2020 by : Panayiotis Vlamos

Download or read book GeNeDis 2020 written by Panayiotis Vlamos and published by Springer Nature. This book was released on 2022-01-01 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 4th World Congress on Genetics, Geriatrics and Neurodegenerative Diseases Research (GeNeDis 2020) focuses on the latest major challenges in scientific research, new drug targets, the development of novel biomarkers, new imaging techniques, novel protocols for early diagnosis of neurodegenerative diseases, and several other scientific advances, with the aim of better, safer, and healthier aging. Computational methodologies for implementation on the discovery of biomarkers for neurodegenerative diseases are extensively discussed. This volume focuses on the sessions from the conference regarding computational biology and bioinformatics.

Approaching Complex Diseases

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Publisher : Springer
ISBN 13 : 9783030328597
Total Pages : 0 pages
Book Rating : 4.3/5 (285 download)

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Book Synopsis Approaching Complex Diseases by : Mariano Bizzarri

Download or read book Approaching Complex Diseases written by Mariano Bizzarri and published by Springer. This book was released on 2021-04-18 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume – for pharmacologists, systems biologists, philosophers and historians of medicine – points to investigate new avenues in pharmacology research, by providing a full assessment of the premises underlying a radical shift in the pharmacology paradigm. The pharmaceutical industry is currently facing unparalleled challenges in developing innovative drugs. While drug-developing scientists in the 1990s mostly welcomed the transformation into a target-based approach, two decades of experience shows that this model is failing to boost both drug discovery and efficiency. Selected targets were often not druggable and with poor disease linkage, leading to either high toxicity or poor efficacy. Therefore, a profound rethinking of the current paradigm is needed. Advances in systems biology are revealing a phenotypic robustness and a network structure that strongly suggest that exquisitely selective compounds, compared with multitarget drugs, may exhibit lower than desired clinical efficacy. This appreciation of the role of polypharmacology has significant implications for tackling the two major sources of attrition in drug development, efficacy and toxicity. Integrating network biology and polypharmacology holds the promise of expanding the current opportunity space for druggable targets.

Mechanobiology

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Publisher : Elsevier
ISBN 13 : 0128179325
Total Pages : 256 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Mechanobiology by : Glen L. Niebur

Download or read book Mechanobiology written by Glen L. Niebur and published by Elsevier. This book was released on 2019-12-01 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mechanobiology: From Molecular Sensing to Disease will provide a review of the current state of understanding of mechanobiology and its role in health and disease. It covers: Current understanding of the main molecular pathways by which cells sense and respond to mechanical stimuli, A review of diseases that with known or purported mechanobiological underpinnings; The role of mechanobiology in tissue engineering and regenerative medicine; Experimental methods to capture mechanobiological phenomena; Computational models in mechanobiology. Presents our current understanding of the main molecular pathways by which cells sense and respond to mechanical stimuli Provides a review of diseases with known or purported mechanobiological underpinnings Includes the role of mechanobiology in tissue engineering and regenerative medicine Covers experimental methods to capture mechanobiological phenomena

Multiscale Modelling in Biomedical Engineering

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Publisher : John Wiley & Sons
ISBN 13 : 1119517354
Total Pages : 404 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Multiscale Modelling in Biomedical Engineering by : Dimitrios I. Fotiadis

Download or read book Multiscale Modelling in Biomedical Engineering written by Dimitrios I. Fotiadis and published by John Wiley & Sons. This book was released on 2023-05-05 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiscale Modelling in Biomedical Engineering Discover how multiscale modeling can enhance patient treatment and outcomes In Multiscale Modelling in Biomedical Engineering, an accomplished team of biomedical professionals delivers a robust treatment of the foundation and background of a general computational methodology for multi-scale modeling. The authors demonstrate how this methodology can be applied to various fields of biomedicine, with a particular focus on orthopedics and cardiovascular medicine. The book begins with a description of the relationship between multiscale modeling and systems biology before moving on to proceed systematically upwards in hierarchical levels from the molecular to the cellular, tissue, and organ level. It then examines multiscale modeling applications in specific functional areas, like mechanotransduction, musculoskeletal, and cardiovascular systems. Multiscale Modelling in Biomedical Engineering offers readers experiments and exercises to illustrate and implement the concepts contained within. Readers will also benefit from the inclusion of: A thorough introduction to systems biology and multi-scale modeling, including a survey of various multi-scale methods and approaches and analyses of their application in systems biology Comprehensive explorations of biomedical imaging and nanoscale modeling at the molecular, cell, tissue, and organ levels Practical discussions of the mechanotransduction perspective, including recent progress and likely future challenges In-depth examinations of risk prediction in patients using big data analytics and data mining Perfect for undergraduate and graduate students of bioengineering, biomechanics, biomedical engineering, and medicine, Multiscale Modelling in Biomedical Engineering will also earn a place in the libraries of industry professional and researchers seeking a one-stop reference to the basic engineering principles of biological systems.

Mathematical and Computational Oncology

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Author :
Publisher : Springer Nature
ISBN 13 : 3030912418
Total Pages : 91 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Mathematical and Computational Oncology by : George Bebis

Download or read book Mathematical and Computational Oncology written by George Bebis and published by Springer Nature. This book was released on 2021-12-11 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.