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2023 (2)

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Book
Introduction to Systems Biology : Workbook for Flipped-Classroom Teaching.
Authors: ---
ISBN: 1800644124 1800644108 Year: 2023 Publisher: Cambridge, UK : Open Book Publishers,

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Abstract

This book is an introduction to the language of systems biology, which is spoken among many disciplines, from biology to engineering. Authors Thomas Sauter and Marco Albrecht draw on a multidisciplinary background and evidence-based learning to facilitate the understanding of biochemical networks, metabolic modeling and system dynamics. Their pedagogic approach briefly highlights core ideas of concepts in a broader interdisciplinary framework to guide a more effective deep dive thereafter. The learning journey starts with the purity of mathematical concepts, reveals its power to connect biological entities in structure and time, and finally introduces physics concepts to tightly align abstraction with reality. This workbook is all about self-paced learning, supports the flipped-classroom concept, and kick-starts with scientific evidence on studying. Each chapter comes with links to external YouTube videos, learning checklists, and Integrated real-world examples to gain confidence in thinking across scientific perspectives. The result is an integrated approach that opens a line of communication between theory and application, enabling readers to actively learn as they read. This overview of capturing and analyzing the behavior of biological systems will interest adherers of systems biology and network analysis, as well as related fields such as bioinformatics, biology, cybernetics, and data science.


Book
Virtual you : how building your digital twin will revolutionize medicine and change your life
Authors: --- ---
ISBN: 0691223408 9780691223407 Year: 2023 Publisher: Princeton : Princeton University Press,

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The visionary science behind the digital human twins that will enhance our health and our futureVirtual You is a panoramic account of efforts by scientists around the world to build digital twins of human beings, from cells and tissues to organs and whole bodies. These virtual copies will usher in a new era of personalized medicine, one in which your digital twin can help predict your risk of disease, participate in virtual drug trials, shed light on the diet and lifestyle changes that are best for you, and help identify therapies to enhance your well-being and extend your lifespan—but thorny challenges remain.In this deeply illuminating book, Peter Coveney and Roger Highfield reveal in five steps what it will take to build a virtual, functional copy of a person. Along the way, they take you on a fantastic voyage through the complexity of the human body, describing the latest scientific and technological advances, from multiscale modeling to extraordinary new forms of computing, that will make “virtual you” a reality, while also considering the ethical questions inherent to realizing truly predictive medicine.With an incisive foreword by Nobel Prize–winning biologist Venki Ramakrishnan, Virtual You is science at its most astounding, showing how our virtual twins and even whole populations of virtual humans promise to transform our health and our lives in the coming decades.

Keywords

Computer vision in medicine. --- Medicine --- Virtual humans (Artificial intelligence). --- Virtual reality in medicine. --- SCIENCE / Life Sciences / Biology. --- Human beings --- Artificial intelligence --- Androids --- Health Workforce --- Computer simulation. --- Computer simulation --- Action potential. --- Activation. --- Ambiguity. --- Analogy. --- Aneurysm. --- Antigen. --- Artificial neural network. --- Avicenna. --- Bacteria. --- Big data. --- Biologist. --- Biology. --- Cadaver. --- Calculation. --- Cardiac pacemaker. --- Cerebral hemorrhage. --- Charles Babbage. --- Chemical process. --- Chemical reaction. --- Chemist. --- Christendom. --- Circulatory system. --- Clinical trial. --- Cloud. --- Cognitive test. --- Computer. --- Covid-19. --- Database. --- Desertification. --- Differential equation. --- Digestion. --- Digital Twins. --- Disease. --- Electron microscope. --- Email. --- Emergence. --- Enzyme. --- Excretion. --- Experimental data. --- Free parameter. --- Gene. --- Geneticist. --- Genomics. --- German Forest. --- Global commons. --- Global health. --- Heart. --- Human rights. --- Inference engine. --- Instance (computer science). --- Liver. --- Logic. --- Machine learning. --- Mathematician. --- Mathematics. --- Measurement. --- Mental calculation. --- Metabolism. --- Metamaterial. --- Microwave. --- Millimetre. --- Molecular biology. --- Molecular machine. --- Molecule. --- Mycoplasma. --- Neurological disorder. --- Optical computing. --- Ordinary differential equation. --- Organism. --- Osaka University. --- Parameter. --- Partial differential equation. --- Photon. --- Prediction. --- Probability. --- Protein. --- Quantity. --- Quantum mechanics. --- Qubit. --- Receptor (biochemistry). --- Result. --- Scientific progress. --- Scientist. --- Simulation. --- Sinoatrial node. --- Sovereignty. --- Stephen Wolfram. --- Supercomputer. --- Surfactant. --- T cell. --- Technology. --- Theory. --- Thought. --- Time evolution. --- Transition zone (Earth). --- Uncertainty. --- Victor Veselago. --- Virtual Cell. --- Wave function.

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