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Computational Biomechanics for Medicine: Towards Automation and Robustness of Computations in the Clinic
Price range: 350₨ through 750₨
This book presents contributions from the MICCAI 2022 Computational Biomechanics for Medicine Workshop. "Computational Biomechanics for Medicine - towards translation and better patient outcomes” comprises papers accepted for the MICCAI Computational Biomechanics for Medicine Workshop held in 2022 in Singapore. The content focuses on applications of computational biomechanics to computer-integrated medicine, which includes MICCAI topics of Medical Image Computing, Computer-Aided Modeling and Evaluation of Surgical Procedures, and Imaging, Analysis Methods for Image Guided Therapies, Computational Physiology, and Medical Robotics. Specific topics covered include medical image analysis, image-guided surgery, surgical simulation, surgical intervention planning, disease prognosis and diagnostics, analysis of injury mechanisms, implant and prostheses design, as well as artificial organ design and medical robotics. This book details state-of-the-art progress in the above fields to researchers, students, and professionals.
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Computational Biomechanics for Medicine: Towards Translation and Better Patient Outcomes
Price range: 350₨ through 750₨
This book presents contributions from the MICCAI 2021 Computational Biomechanics for Medicine Workshop. "Computational Biomechanics for Medicine - towards translation and better patient outcomes” comprises papers accepted for the MICCAI Computational Biomechanics for Medicine Workshop held virtually in conjunction with Medical Image Computing and Computer Assisted Intervention conference 2021, based in Strasbourg. The content focuses on methods and applications of computational biomechanics to medical image analysis, image-guided surgery, surgical simulation, surgical intervention planning, disease prognosis and diagnostics, analysis of injury mechanisms, implant and prostheses design, as well as artificial organ design and medical robotics. This book details state-of-the-art progress in the above fields to researchers, students, and professionals.

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Computational Cardiology Modeling of Anatomy Electrophysiology and Mechanics
Price range: 600₨ through 1,250₨
Computational Cardiology Modeling of Anatomy Electrophysiology and Mechanics
by Frank B. Sachse (Author)
This book is devoted to computer-based modeling in cardiology, by taking an educational point of view, and by summarizing knowledge from several, commonly considered delimited areas of cardiac research in a consistent way. First, the foundations and numerical techniques from mathematics are provided, with a particular focus on the finite element and finite differences methods. Then, the theory of electric fields and continuum mechanics is introduced with respect to numerical calculations in anisotropic biological media. In addition to the presentation of digital image processing techniques, the following chapters deal with particular aspects of cardiac modeling: cardiac anatomy, cardiac electro physiology, cardiac mechanics, modeling of cardiac electro mechanics. This book was written for researchers in modeling and cardiology, for clinical cardiologists, and for advanced students.
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Computational Cardiology: Modeling Of Anatomy, Electrophysiology, And Mechanics
Price range: 600₨ through 1,250₨
Computational Cardiology: Modeling Of Anatomy, Electrophysiology, And MechanicsBy Frank B. Sachse (Author)This Book Is Devoted To Computer-Based Modeling In Cardiology, By Taking An Educational Point Of View, And By Summarizing Knowledge From Several, Commonly Considered Delimited Areas Of Cardiac Research In A Consistent Way. First, The Foundations And Numerical Techniques From Mathematics Are Provided, With A Particular Focus On The Finite Element And Finite Differences Methods. Then, The Theory Of Electric Fields And Continuum Mechanics Is Introduced With Respect To Numerical Calculations In Anisotropic Biological Media. In Addition To The Presentation Of Digital Image Processing Techniques, The Following Chapters Deal With Particular Aspects Of Cardiac Modeling: Cardiac Anatomy, Cardiac Electro Physiology, Cardiac Mechanics, Modeling Of Cardiac Electro Mechanics. This Book Was Written For Researchers In Modeling And Cardiology, For Clinical Cardiologists, And For Advanced Students.Buy Online Medical Books At Gangaram Jinnah Medical Books Shop For Home Delivery And Cash On Delivery To All Over Pakistan. All Kind Of Medical Books Are Available.
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Computational Cardiovascular Mechanics Modeling and Applications in Heart Failure
Price range: 600₨ through 1,250₨
Computational Cardiovascular Mechanics Modeling and Applications in Heart Failure
by Julius M. Guccione (Editor), Ghassan Kassab (Editor), Mark B. Ratcliffe (Editor)
Computational Cardiovascular Mechanics provides a cohesive guide to creating mathematical models for the mechanics of diseased hearts to simulate the effects of current treatments for heart failure. Clearly organized in a two part structure, this volume discusses various areas of computational modeling of cardiovascular mechanics (finite element modeling of ventricular mechanics, fluid dynamics) in addition to a description an analysis of the current applications used (solid FE modeling, CFD).
Edited by experts in the field, researchers involved with biomedical and mechanical engineering will find Computational Cardiovascular Mechanics a valuable reference.
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Computational Drug Discovery and Design (Methods in Molecular Biology Book 2714) 2nd Edition
Price range: 600₨ through 1,300₨
This second edition provides new and updated methods and techniques for identification of drug target, binding sites prediction, high- throughput virtual screening, lead discovery and optimization, conformational sampling, prediction of pharmacokinetic properties using computer-based methodologies. Chapters also focus on the application of the latest artificial intelligence technologies for computer aided drug discovery. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary methods, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols.Authoritative and cutting-edge, Computational Drug Discovery and Design, Second Edition aims to effectively utilize computational methodologies in discovery and design of novel drugs.
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Computational Drug Discovery: Methods and Applications 1st Edition
Price range: 1,150₨ through 2,650₨
Computational Drug DiscoveryA comprehensive resource that explains a wide array of computational technologies and methods driving innovation in drug discoveryComputational Drug Discovery: Methods and Applications (2 volume set) covers a wide range of cutting-edge computational technologies and computational chemistry methods that are transforming drug discovery. The book delves into recent advances, particularly focusing on artificial intelligence (AI) and its application for protein structure prediction, AI-enabled virtual screening, and generative modeling for compound design. Additionally, it covers key technological advancements in computing such as quantum and cloud computing that are driving innovations in drug discovery.Furthermore, dedicated chapters that addresses the recent trends in the field of computer aided drug design, including ultra-large-scale virtual screening for hit identification, computational strategies for designing new therapeutic modalities like PROTACs and covalent inhibitors that target residues beyond cysteine are also presented.To offer the most up-to-date information on computational methods utilized in Computational Drug Discovery, it covers chapters highlighting the use of molecular dynamics and other related methods, application of QM and QM/MM methods in computational drug design, and techniques for navigating and visualizing the chemical space, as well as leveraging big data to drive drug discovery efforts.The book is thoughtfully organized into eight thematic sections, each focusing on a specific computational method or technology applied to drug discovery. Authored by renowned experts from academia, pharmaceutical industry, and major drug discovery software providers, it offers an overview of the latest advances in computational drug discovery.Key topics covered in the book include:
Application of molecular dynamics simulations and related approaches in drug discovery
The application of QM, hybrid approaches such as QM/MM, and fragment molecular orbital framework for understanding protein-ligand interactions
Adoption of artificial intelligence in pre-clinical drug discovery, encompassing protein structure prediction, generative modeling for de novo design, and virtual screening.
Techniques for navigating and visualizing the chemical space, along with harnessing big data to drive drug discovery efforts.
Methods for performing ultra-large-scale virtual screening for hit identification.
Computational strategies for designing new therapeutic models, including PROTACs and molecular glues.
In silico ADMET approaches for predicting a variety of pharmacokinetic and physicochemical endpoints.
The role of computing technologies like quantum computing and cloud computing in accelerating drug discovery
This book will provide readers an overview of the latest advancements in Computational Drug Discovery and serve as a valuable resource for professionals engaged in drug discovery.
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Computational Drug Discovery: Molecular Simulation for Medicinal Chemistry
Price range: 700₨ through 1,600₨
Computational methods and understanding computational models are important in modern drug discovery. The book focuses on computational approaches that can improve the development of in silico methodologies. It includes lead hit methods, docking algorithms, computational chiral compounds, structure-based drug design, GROMACS and NAMD, structural genomics, toxicity prediction, enzyme inhibitors and peptidomimetic therapeutics
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Computational Electrophysiology Dynamical Systems And Bifurcations
Price range: 300₨ through 600₨
Computational Electrophysiology Dynamical Systems And Bifurcations
by Shinji Doi (Author), Junko Inoue (Author), Zhenxing Pan (Author), Kunichika Tsumoto (Author), Masao Tanaka (Series Editor)
Biological systems inherently possess much ambiguity or uncertainty. Computational electrophysiology is the one area, from among the vast and rapidly growing discipline of computational and systems biology, in which computational or mathematical models have succeeded. This textbook provides a practical and quick guide to both computational electrophysiology and numerical bifurcation analysis. Bifurcation analysis is a very powerful tool for the analysis of such highly nonlinear biological systems. Bifurcation theory provides a way to analyze the effect of a parameter change on a system and to detect a critical parameter value when the qualitative nature of the system changes. Included in this work are many examples of numerical computations of bifurcation analysis of various models as well as mathematical models with different abstraction levels from neuroscience and electrophysiology. This volume will benefit graduate and undergraduate students as well as researchers in diverse fields of science.
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Computational Intelligence in Oncology: Applications in Diagnosis, Prognosis and Therapeutics of Cancers (Studies in Computational Intelligence Book 1016)
Price range: 750₨ through 1,700₨
This book encapsulates recent applications of CI methods in the field of computational oncology, especially cancer diagnosis, prognosis, and its optimized therapeutics.The cancer has been known as a heterogeneous disease categorized in several different subtypes. According to WHO’s recent report, cancer is a leading cause of death worldwide, accounting for over 10 million deaths in the year 2020. Therefore, its early diagnosis, prognosis, and classification to a subtype have become necessary as it facilitates the subsequent clinical management and therapeutics plan. Computational intelligence (CI) methods, including artificial neural networks (ANNs), fuzzy logic, evolutionary computations, various machine learning and deep learning, and nature-inspired algorithms, have been widely utilized in various aspects of oncology research, viz. diagnosis, prognosis, therapeutics, and optimized clinical management.Appreciable progress has been made toward the understanding the hallmarks of cancer development, progression, and its effective therapeutics. However, notwithstanding the extrinsic and intrinsic factors which lead to drastic increment in incidence cases, the detection, diagnosis, prognosis, and therapeutics remain an apex challenge for the medical fraternity. With the advent in CI-based approaches, including nature-inspired techniques, and availability of clinical data from various high-throughput experiments, medical consultants, researchers, and oncologists have seen a hope to devise and employ CI in various aspects of oncology. The main aim of the book is to occupy state-of-the-art applications of CI methods which have been derived from core computer sciences to back medical oncology. This edited book covers artificial neural networks, fuzzy logic and fuzzy inference systems, evolutionary algorithms, various nature-inspired algorithms, and hybrid intelligent systems which are widely appreciated for the diagnosis, prognosis, and optimization of therapeutics of various cancers. Besides, this book also covers multi-omics exploration, gene expression analysis, gene signature identification of cancers, genomic characterization of tumors, anti-cancer drug design and discovery, drug response prediction by means of CI, and applications of IoT, IoMT, and blockchain technology in cancer research.
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Computational Intelligence Methods for Bioinformatics and Biostatistics: 17th International Meeting, CIBB 2021, Virtual Event, November 15–17, 2021, Revised … Notes in Computer Science Book 13483)
Price range: 450₨ through 1,000₨
This book constitutes revised selected papers from the 17th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2021, which was held virtually during November 15–17, 2021.The 19 papers included in these proceedings were carefully reviewed and selected from 26 submissions, and they focus on bioinformatics, computational biology, health informatics, cheminformatics, biotechnology, biostatistics, and biomedical imaging.
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Computational Materials, Chemistry, and Biochemistry: From Bold Initiatives to the Last Mile: In Honor of William A. Goddard’s Contributions to Science … Series in Materials Science Book 284) 1st ed.
Price range: 2,100₨ through 4,800₨
This book provides a broad and nuanced overview of the achievements and legacy of Professor William (“Bill”) Goddard in the field of computational materials and molecular science. Leading researchers from around the globe discuss Goddard’s work and its lasting impacts, which can be seen in today’s cutting-edge chemistry, materials science, and biology techniques. Each section of the book closes with an outline of the prospects for future developments.In the course of a career spanning more than 50 years, Goddard’s seminal work has led to dramatic advances in a diverse range of science and engineering fields. Presenting scientific essays and reflections by students, postdoctoral associates, collaborators and colleagues, the book describes the contributions of one of the world’s greatest materials and molecular scientists in the context of theory, experimentation, and applications, and examines his legacy in each area, from conceptualization (the first mile)to developments and extensions aimed at applications, and lastly to de novo design (the last mile). Goddard’s passion for science, his insights, and his ability to actively engage with his collaborators in bold initiatives is a model for us all. As he enters his second half-century of scientific research and education, this book inspires future generations of students and researchers to employ and extend these powerful techniques and insights to tackle today’s critical problems in biology, chemistry, and materials.Examples highlighted in the book include new materials for photocatalysts to convert water and CO2 into fuels, novel catalysts for the highly selective and active catalysis of alkanes to valuable organics, simulating the chemistry in film growth to develop two-dimensional functional films, and predicting ligand–protein binding and activation to enable the design of targeted drugs with minimal side effects. Buy online Medical books at Gangaram Jinnah Medical Books Shop for home delivery and Cash on delivery to all over Pakistan. All kind of medical books are available.

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Computational Methods and Deep Learning for Ophthalmology
Price range: 600₨ through 1,300₨
Computational Methods and Deep Learning for Ophthalmology explores the integration of artificial intelligence, deep learning, and computational techniques in the field of eye care and vision science. Edited by Dr. D. Jude Hemanth, this book focuses on how machine learning and advanced computational tools are revolutionizing ophthalmic diagnostics, disease prediction, image analysis, and clinical decision-making. It provides researchers, clinicians, and postgraduate students with insights into the latest applications of AI in ophthalmology.
Key Points:
Covers AI and deep learning applications in ophthalmology.
Focuses on diagnostics, image processing, and disease prediction.
Highlights machine learning models for retinal and ocular diseases.
Discusses clinical decision support systems powered by AI.
Suitable for researchers, postgraduate students, and eye specialists.
Bridges the gap between computational methods and clinical practice.
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Computational Methods for Estimating the Kinetic Parameters of Biological Systems (Methods in Molecular Biology Book 2385)
Price range: 650₨ through 1,400₨
This detailed book provides an overview of various classes of computational techniques, including machine learning techniques, commonly used for evaluating kinetic parameters of biological systems. Focusing on three distinct situations, the volume covers the prediction of the kinetics of enzymatic reactions, the prediction of the kinetics of protein-protein or protein-ligand interactions (binding rates, dissociation rates, binding affinities), and the prediction of relatively large set of kinetic rates of reactions usually found in quantitative models of large biological networks. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of expert implementation advice that leads to successful results. Authoritative and practical, Computational Methods for Estimating the Kinetic Parameters of Biological Systems will be of great interest for researchers working through the challenge of identifying the best type of algorithm and who would like to use or develop a computational method for the estimation of kinetic parameters.
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Computational Methods for Predicting Post-Translational Modification Sites (Methods in Molecular Biology 2499)
Price range: 550₨ through 1,250₨
This volume describes computational approaches to predict multitudes of PTM sites. Chapters describe in depth approaches on algorithms, state-of-the-art Deep Learning based approaches, hand-crafted features, physico-chemical based features, issues related to obtaining negative training, sequence-based features, and structure-based features. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols.Authoritative and cutting-edge, Authoritative and cutting-edge, Computational Methods for Predicting Post-Translational Modification Sites aims to be a useful guide for researchers who are interested in the field of PTM site prediction.
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Computational Methods in Systems Biology: 20th International Conference, CMSB 2022, Bucharest, Romania, September 14–16, 2022, Proceedings (Lecture Notes in Computer Science Book 13447)
Price range: 550₨ through 1,250₨
This book constitutes the refereed proceedings of the 20th International Conference on Computational Methods in Systems Biology, CMSB 2022, held in Bucharest, Romania, in September 2022.The 13 full papers and 4 tool papers were carefully reviewed and selected from 43 submissions. CMSB focuses on modeling, simulation, analysis, design and control of biological systems. The papers are arranged thematically as follows: Chemical reaction networks; Boolean networks; continuous and hybrid models; machine learning; software.
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Computational Modeling of Infectious Disease: With Applications in Python
Price range: 750₨ through 1,750₨
Computational Modeling of Infectious Disease: With Applications in Python provides an illustrated compendium of tools and tactics for analyzing infectious diseases using cutting-edge computational methods. From simple S(E)IR models, and through time series analysis and geospatial models, this book is both a guided tour through the computational analysis of infectious diseases and a quick-reference manual. Chapters are accompanied by extensive practical examples in Python, illustrating applications from start to finish. This book is designed for researchers and practicing infectious disease forecasters, modelers, data scientists, and those who wish to learn more about analysis of infectious disease processes in the real world.
Connects computational infectious disease analysis to state-of-the-art data science
Conveys ideas on epidemiology and infectious disease modeling in a clear, accessible way
Provides code examples to elucidate best practices
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Computational Modelling of the Brain: Modelling Approaches to Cells, Circuits and Networks (Advances in Experimental Medicine and Biology Book 1359)
Price range: 600₨ through 1,300₨
This volume offers an up-to-date overview of essential concepts and modern approaches to computational modelling, including the use of experimental techniques related to or directly inspired by them. The book introduces, at increasing levels of complexity and with the non-specialist in mind, state-of-the-art topics ranging from single-cell and molecular descriptions to circuits and networks.Four major themes are covered, including subcellular modelling of ion channels and signalling pathways at the molecular level, single-cell modelling at different levels of spatial complexity, network modelling from local microcircuits to large-scale simulations of entire brain areas and practical examples. Each chapter presents a systematic overview of a specific topic and provides the reader with the fundamental tools needed to understand the computational modelling of neural dynamics.This book is aimed at experimenters and graduate students with little or no prior knowledge of modelling who are interested in learning about computational models from the single molecule to the inter-areal communication of brain structures. The book will appeal to computational neuroscientists, engineers, physicists and mathematicians interested in contributing to the field of neuroscience.

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Computational Physiology: Simula Summer School 2022 − Student Reports (Reports on Computational Physiology)
Price range: 250₨ through 500₨
Computational Physiology: Simula Summer School 2022 − Student Reports (Reports on Computational Physiology), edited by Kimberly J. McCabe, presents cutting-edge research and advancements in the field of computational physiology. This book compiles selected works from the Simula Summer School 2022, showcasing the latest methods, models, and simulations used to study physiological processes. It highlights interdisciplinary approaches combining mathematics, computer science, and biology to solve complex biomedical problems.
The book is particularly valuable for students, researchers, and professionals interested in computational modeling, bioengineering, medical simulation, and data-driven physiological research.
Key Features:
Comprehensive Research Coverage: Includes detailed reports from top students and researchers at the Simula Summer School 2022.
Interdisciplinary Approach: Bridges computer science, mathematics, and life sciences to explore physiological phenomena.
Real-World Applications: Demonstrates the use of computational techniques in healthcare, diagnostics, and personalized medicine.
Advanced Topics: Covers modeling of cardiovascular, neural, and muscular systems with state-of-the-art computational tools.
Educational Value: Serves as an excellent resource for graduate students, educators, and professionals in computational biology and physiology.
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Computational Systems Biology in Medicine and Biotechnology: Methods and Protocols (Methods in Molecular Biology, 2399)
Price range: 800₨ through 1,800₨
This volume addresses the latest state-of-the-art systems biology-oriented approaches that--driven by big data and bioinformatics--are utilized by Computational Systems Biology, an interdisciplinary field that bridges experimental tools with computational tools to tackle complex questions at the frontiers of knowledge in medicine and biotechnology. The chapters in this book are organized into six parts: systems biology of the genome, epigenome, and redox proteome; metabolic networks; aging and longevity; systems biology of diseases; spatiotemporal patterns of rhythms, morphogenesis, and complex dynamics; and genome scale metabolic modeling in biotechnology. In every chapter, readers will find varied methodological approaches applied at different levels, from molecular, cellular, organ to organisms, genome to phenome, and health and disease. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics; criteria utilized for applying specific methodologies; lists of the necessary materials, reagents, software, databases, algorithms, mathematical models, and dedicated analytical procedures; step-by-step, readily reproducible laboratory, bioinformatics, and computational protocols all delivered in didactic and clear style and abundantly illustrated with express case studies and tutorials; and tips on troubleshooting and advice for achieving reproducibility while avoiding mistakes and misinterpretations. The overarching goal driving this volume is to excite the expert and stimulate the newcomer to the field of Computational Systems Biology.Cutting-edge and authoritative, Computational Systems Biology in Medicine and Biotechnology: Methods and Protocols is a valuable resource for pre- and post-graduate students in medicine and biotechnology, and in diverse areas ranging from microbiology to cellular and organismal biology, as well as computational and experimental biologists,and researchers interested in utilizing comprehensive systems biology oriented methods.
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