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Author: Zhaoyuan Fang
Publisher: Frontiers Media SA
ISBN: 2832502512
Category : Science
Languages : en
Pages : 121
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Book Description
Author: Zhaoyuan Fang
Publisher: Frontiers Media SA
ISBN: 2832502512
Category : Science
Languages : en
Pages : 121
Get Book Here
Book Description
Author: Chandra P. Sharma
Publisher: Elsevier
ISBN: 0443184992
Category : Science
Languages : en
Pages : 344
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Book Description
Artificial Intelligence in Tissue and Organ Regeneration discusses the role of artificial intelligence as a highly sought-after technology in the area of organ and tissue regeneration. Certain groups have made significant progress in mass producing mini organs and organoids from stem cells utilizing such techniques. As time goes on, there will be a need to improve these procedures, protocols, regulatory guidelines, and their clinical implications. - Integrates existing literature in a highly interdisciplinary area - Presents comprehensive current and future perspectives, combining artificial intelligence and machine learning with organ and tissue regeneration - Provides new and emerging technology that is useful in healthcare and the medical field
Author: Anwarul Hasan
Publisher: John Wiley & Sons
ISBN: 3527338632
Category : Science
Languages : en
Pages : 762
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Book Description
A comprehensive overview of the latest achievements, trends, and the current state of the art of this important and rapidly expanding field. Clearly and logically structured, the first part of the book explores the fundamentals of tissue engineering, providing a separate chapter on each of the basic topics, including biomaterials stem cells, biosensors and bioreactors. The second part then follows a more applied approach, discussing various applications of tissue engineering, such as the replacement or repairing of skins, cartilages, livers and blood vessels, to trachea, lungs and cardiac tissues, to musculoskeletal tissue engineering used for bones and ligaments as well as pancreas, kidney and neural tissue engineering for the brain. The book concludes with a look at future technological advances. An invaluable reading for entrants to the field in biomedical engineering as well as expert researchers and developers in industry.
Author: William L. William L. Hamilton
Publisher: Springer Nature
ISBN: 3031015886
Category : Computers
Languages : en
Pages : 141
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Book Description
Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis. This book provides a synthesis and overview of graph representation learning. It begins with a discussion of the goals of graph representation learning as well as key methodological foundations in graph theory and network analysis. Following this, the book introduces and reviews methods for learning node embeddings, including random-walk-based methods and applications to knowledge graphs. It then provides a technical synthesis and introduction to the highly successful graph neural network (GNN) formalism, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent advancements in deep generative models for graphs—a nascent but quickly growing subset of graph representation learning.
Author: E. Gangadevi
Publisher: John Wiley & Sons
ISBN: 1394204396
Category : Science
Languages : en
Pages : 357
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Book Description
COMPUTATIONAL INTELLIGENCE IN BIOPRINTING The book provides a comprehensive exploration of the evolving field of bioprinting in regenerative medicine and is an essential guide for professionals seeking a thorough understanding of the field. Computational Intelligence in Bioprinting provides a comprehensive overview of the evolving field of bioprinting in reformative medicine, defining the process of printing structures using viable cells, biomaterials, and living molecules. The primary goal is to provide substitutes for tissue implants, which might lead to eliminating the requirement for organ donors, as well as to transform animal testing for the learning and analysis of disease and the growth of treatments. The book offers a comprehensive overview of bioprinting technologies and their applications, emphasizing the integration of computation intelligence, artificial intelligence, and other computer science advancements in the field. By harnessing the power of computational intelligence techniques such as AI, machine learning, optimization algorithms, and data analytics, existing hurdles can be overcome and the full potential of bioprinting can be unlocked. The book covers an extensive range of topics, including bio-ink formulation and characterization, bioprinter hardware and software design, tissue and organ modeling, image analysis, process optimization, and quality control. Audience The book is aimed at professionals, practitioners and researchers in the fields of bioprinting, tissue engineering, and computational intelligence in medicine.
Author: C.W. Patrick
Publisher: Elsevier
ISBN: 0080532055
Category : Technology & Engineering
Languages : en
Pages : 717
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Book Description
Frontiers in Tissue Engineering is a carefully edited compilation of state-of-the-art contributions from an international authorship of experts in the diverse subjects that make up tissue engineering. A broad representation of the medical, scientific, industrial and regulatory community is detailed in the book. The work is an authoritative and comprehensive reference source for scientists and clinicians working in this emerging field. The book is divided into three parts: fundamentals and methods of tissue engineering, tissue engineering applied to specialised tissues, and tissue engineering applied to organs. The text offers many novel approaches, including a detailed coverage of cell-tissue interactions at cellular and molecular levels; cell-tissue surface, biochemical, and mechanical environments; biomaterials; engineering design; tissue-organ function; new approaches to tissue-organ regeneration and replacement of function; ethical considerations of tissue engineering; and government regulation of tissue-engineered products.
Author: Anthony Atala
Publisher: Academic Press
ISBN: 0128098937
Category : Science
Languages : en
Pages : 1456
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Book Description
Principles of Regenerative Medicine, Third Edition, details the technologies and advances applied in recent years to strategies for healing and generating tissue. Contributions from a stellar cast of researchers cover the biological and molecular basis of regenerative medicine, highlighting stem cells, wound healing and cell and tissue development. Advances in cell and tissue therapy, including replacement of tissues and organs damaged by disease and previously untreatable conditions, such as diabetes, heart disease, liver disease and renal failure are also incorporated to provide a view to the future and framework for additional studies. - Comprehensively covers the interdisciplinary field of regenerative medicine with contributions from leaders in tissue engineering, cell and developmental biology, biomaterials sciences, nanotechnology, physics, chemistry, bioengineering and surgery - Includes new chapters devoted to iPS cells and other alternative sources for generating stem cells as written by the scientists who made the breakthroughs - Edited by a world-renowned team to present a complete story of the development and promise of regenerative medicine
Author: Pawan Raghav
Publisher: Elsevier
ISBN: 0443132216
Category : Science
Languages : en
Pages : 568
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Book Description
Computational Biology for Stem Cell Research is an invaluable guide for researchers as they explore HSCs and MSCs in computational biology. With the growing advancement of technology in the field of biomedical sciences, computational approaches have reduced the financial and experimental burden of the experimental process. In the shortest span, it has established itself as an integral component of any biological research activity. HSC informatics (in silico) techniques such as machine learning, genome network analysis, data mining, complex genome structures, docking, system biology, mathematical modeling, programming (R, Python, Perl, etc.) help to analyze, visualize, network constructions, and protein-ligand or protein-protein interactions. This book is aimed at beginners with an exact correlation between the biomedical sciences and in silico computational methods for HSCs transplantation and translational research and provides insights into methods targeting HSCs properties like proliferation, self-renewal, differentiation, and apoptosis. - Modeling Stem Cell Behavior: Explore stem cell behavior through animal models, bridging laboratory studies to real-world clinical allogeneic HSC transplantation (HSCT) scenarios. - Bioinformatics-Driven Translational Research: Navigate a path from bench to bedside with cutting-edge bioinformatics approaches, translating computational insights into tangible advancements in stem cell research and medical applications. - Interdisciplinary Resource: Discover a single comprehensive resource catering to biomedical sciences, life sciences, and chemistry fields, offering essential insights into computational tools vital for modern research.
Author: Chandra P. Sharma
Publisher: Academic Press
ISBN: 0128240652
Category : Science
Languages : en
Pages : 724
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Book Description
Tissue Engineering: Current Status and Challenges bridges the gap between biomedical scientists and clinical practitioners. The work reviews the history of tissue engineering, covers the basics required for the beginner, and inspires those in the field toward future research and application emerging in this fast-moving field. Written by global experts in the field for those studying and researching tissue engineering, the book reviews regenerative technologies, stem cell research and regeneration of organs. It then moves to soft tissue engineering (heart, vascular, muscle and 3D scaffolding and printing), hard tissue engineering (bone, dental myocardial and musculoskeletal) and translational avenues in the field. - Introduces readers to the history and benefits of tissue engineering - Includes coverage of new techniques and technologies, such as nanotechnology and nanoengineering - Presents concepts, ideology and theories which form the foundation for next-generation tissue engineering
Author: Lazaros Iliadis
Publisher: Springer Nature
ISBN: 3031082230
Category : Computers
Languages : en
Pages : 544
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Book Description
This book constitutes the refereed proceedings of the 23rd International Conference on Engineering Applications of Neural Networks, EANN 2022, held in Chersonisos, Crete, Greece, in June 2022. The 37 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on Bio inspired Modeling / Novel Neural Architectures; Classification / Clustering; Machine Learning; Convolutional / Deep Learning; Datamining / Learning / Autoencoders; Deep Learning / Blockchain; Machine Learning for Medical Images / Genome Classification; Reinforcement /Adversarial / Echo State Neural Networks; Robotics / Autonomous Vehicles, Photonic Neural Networks; Text Classification / Natural Language.
