Mathematical And Computational Modeling of Blood

Modeling Tumor Vasculature: Molecular, Cellular, and Tissue Level Aspects and Implications

Trachette L. Jackson, "Modeling Tumor Vasculature: Molecular, Cellular, and Tissue Level Aspects and Implications"
English | 2012 | pages: 411 | ISBN: 1493901338, 1461400511 | PDF | 12,1 mb

Laser Interaction with Biological Material: Mathematical Modeling  eBooks & eLearning

Posted by AvaxGenius at Nov. 17, 2022
Laser Interaction with Biological Material: Mathematical Modeling

Laser Interaction with Biological Material: Mathematical Modeling by Kirill Kulikov
English | PDF | 2014 | 155 Pages | ISBN : 3319343815 | 3.5 MB

This book covers the principles of laser interaction with biological cells and tissues of varying degrees of organization. The problems of biomedical diagnostics are considered. Scattering of laser irradiation of blood cells is modeled for biological structures (dermis, epidermis, vascular plexus). An analytic theory is provided which is based on solving the wave equation for the electromagnetic field. It allows the accurate analysis of interference effects arising from the partial superposition of scattered waves. Treated topics of mathematical modeling are: optical characterization of biological tissue with large-scale and small-scale inhomogeneities in the layers, heating blood vessel under laser irradiation incident on the outer surface of the skin and thermo-chemical denaturation of biological structures at the example of human skin.
Tutorials in Mathematical Biosciences: III Cell Cycle, Proliferation, and Cancer (Repost)

Tutorials in Mathematical Biosciences: III Cell Cycle, Proliferation, and Cancer by Avner Friedman
English | PDF(True) | 2006 | 254 Pages | ISBN : 3540291628 | 9.57 MB

This volume introduces some basic mathematical models for cell cycle, proliferation, cancer, and cancer therapy. Chapter 1 gives an overview of the modeling of the cell division cycle. Chapter 2 describes how tumor secretes growth factors to form new blood vessels in its vicinity, which provide it with nutrients it needs in order to grow. Chapter 3 explores the process that enables the tumor to invade the neighboring tissue. Chapter 4 models the interaction between a tumor and the immune system. Chapter 5 is concerned with chemotherapy; it uses concepts from control theory to minimize obstacles arising from drug resistance and from cell cycle dynamics. Finally, Chapter 6 reviews mathematical results for various cancer models.

Mathematical Modeling in Renal Physiology (Repost)  eBooks & eLearning

Posted by insetes at July 30, 2018
Mathematical Modeling in Renal Physiology (Repost)

Mathematical Modeling in Renal Physiology By Anita T. Layton, Aurélie Edwards
2014 | 225 Pages | ISBN: 3642273661 | PDF | 4 MB

Mathematical Modeling in Renal Physiology [Repost]  eBooks & eLearning

Posted by ChrisRedfield at Feb. 3, 2017
Mathematical Modeling in Renal Physiology [Repost]

Anita T. Layton, Aurélie Edwards - Mathematical Modeling in Renal Physiology
Published: 2014-09-14 | ISBN: 3642273661 | PDF | 221 pages | 3.5 MB

Complex Systems in Biomedicine  eBooks & eLearning

Posted by AvaxGenius at March 1, 2024
Complex Systems in Biomedicine

Complex Systems in Biomedicine by Alfio Quarteroni, Luca Formaggia, Alessandro Veneziani
English | PDF (True) | 2006 | 299 Pages | ISBN : 8847003946 | 7 MB

Mathematical modeling of human physiopathology is a tremendouslyambitioustask. It encompasses the modeling of most diverse compartments such as the cardiovaslar,respiratory,skeletalandnervoussystems,aswellasthemechanicalandbioch- ical interaction between blood ?ow and arterial walls, and electrocardiac processes and electric conduction in biological tissues. Mathematical models can be set up to simulate both vasculogenesis (the aggregation and organization of endothelial cells dispersed in a given environment) and angiogenesis (the formation of new vessels sprouting from an existing vessel) that are relevant to the formation of vascular networks, and in particular to the description of tumor growth. The integration of models aimed at simulating the cooperation and interrelation of different systems is an even more dif?cult task. It calls for the setting up of, for instance, interaction models for the integrated cardio-vascular system and the interplay between the central circulation and peripheral compartments, models for the mid-to-long range cardiovascular adjustments to pathological conditions (e.g., to account for surgical interventions, congenital malformations, or tumor growth), models for integration among circulation, tissue perfusion, biochemical and thermal regulation, models for parameter identi?cation and sensitivity analysis to parameter changes or data uncertainty – and many others.
Trends in Biomathematics: Modeling Cells, Flows, Epidemics, and the Environment

Rubem P. Mondaini, "Trends in Biomathematics: Modeling Cells, Flows, Epidemics, and the Environment: Selected Works from the BIOMAT Consortium Lectures, Szeged, Hungary, 2019"
English | ISBN: 3030463052 | 2020 | 435 pages | EPUB, PDF | 48 MB + 13 MB

Quantitative Physiology: Systems Approach  eBooks & eLearning

Posted by roxul at Feb. 9, 2021
Quantitative Physiology: Systems Approach

Shangbin Chen, "Quantitative Physiology: Systems Approach"
English | ISBN: 9813340320 | 2020 | 260 pages | EPUB, PDF | 64 MB + 15 MB

Numerical Simulation in Biomechanics and Biomedical Engineering-II  eBooks & eLearning

Posted by AvaxGenius at July 31, 2023
Numerical Simulation in Biomechanics and Biomedical Engineering-II

Numerical Simulation in Biomechanics and Biomedical Engineering-II by Mauro Malvè
English | PDF | 2023 | 274 Pages | ISBN : 3036581006 | 33.4 MB

This reprint presents a collection of significant contributions to advancement of the application of the mathematical modeling to biomechanics and the biomedical engineering. This publication contains a particularly diverse set of contributions. For instance, Latif and co-authors review the specifications to model the upper airways before mandibular advancement surgery. Calvo-Gallego et al. propose local stress and strain tensors-derived variables as candidates for bone mechanical stimuli. Sohail et al. present a methodology for total knee arthroplasty.