Ai Assisted Computational Approaches For Immunological Disorders
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Ai Assisted Computational Approaches For Immunological Disorders
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Author : Chen, Jen-Tsung
language : en
Publisher: IGI Global
Release Date : 2025-05-13
Ai Assisted Computational Approaches For Immunological Disorders written by Chen, Jen-Tsung and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-13 with Medical categories.
Based on accelerated computing and advanced algorithms, artificial intelligence (AI) has become a game-changer in diverse fields. In biomedical science, AI models based on machine learning, deep learning, and generative AI, together with upgraded computational and systems biology, provide smart, precise, and personalized medicine and healthcare. In the field of clinical immunology, which deals with intrinsic complicated immune systems for combating immunological disorders, AI technologies have the potential to solve problems based on identification, prediction, simulation, and modeling. AI algorithms may impact sustainable clinical healthcare and future immunology diagnoses. AI-Assisted Computational Approaches for Immunological Disorders explores precision clinical medicine and personalized healthcare in major immunological disorders, such as immunodeficiency, autoimmune diseases, allergies, asthma, cancers, and neurological diseases. It analyzes clinical healthcare big data, genomics, and high-throughput multiple omics based on single-cell and high-dimensional data for their technical advances, clinical applications, challenges, and future directions. Covering topics such as cell therapy, reducing complications, and drug development, this book is an excellent resource for immunologists, biologists, healthcare practitioners, professionals, researchers, scholars, academicians, and more.
Immunoinformatics In The Age Of Ai Machine Learning Methods For Immune System Modeling
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Author : Dr. Calvin Ronchen Wei
language : en
Publisher: Xoffencer International Book Publication house
Release Date : 2024-11-28
Immunoinformatics In The Age Of Ai Machine Learning Methods For Immune System Modeling written by Dr. Calvin Ronchen Wei and has been published by Xoffencer International Book Publication house this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-28 with Computers categories.
Immunoinformatics, an interdisciplinary field at the nexus of immunology, bioinformatics, and computational science, has been profoundly transformed by the advent of artificial intelligence (AI) and machine learning (ML) technologies. As the immune system is an intricate and dynamic network responsible for protecting organisms from pathogens, its study presents vast complexities requiring sophisticated computational tools. The integration of ML has enabled significant strides in understanding immune responses, predicting immune epitopes, designing vaccines, and modeling interactions between pathogens and the host immune system. ML algorithms, particularly those utilizing deep learning frameworks, have shown remarkable capabilities in analyzing vast genomic, proteomic, and transcriptomic datasets, revealing patterns and insights that were previously beyond human reach. These advancements are particularly crucial in the current era, where rapid responses to emerging diseases and pandemics necessitate unprecedented speed and precision in immune system research. AI-powered tools have revolutionized vaccine development by predicting antigenic determinants with high accuracy, thereby reducing reliance on traditional trial-and-error methods. This approach has accelerated the development of mRNA vaccines, which played a critical role during the COVID-19 pandemic. Furthermore, ML techniques like support vector machines, neural networks, and ensemble learning have been employed to simulate immune system dynamics, enabling researchers to forecast immune responses to various interventions. These models are instrumental in identifying biomarkers for autoimmune diseases, allergies, and cancer immunotherapy, paving the way for personalized medicine. Moreover, the incorporation of natural language processing in immunoinformatics has facilitated the curation and synthesis of vast biomedical literature, providing researchers with actionable insights into immune-related mechanisms and therapies. However, the application of ML in immunoinformatics is not without challenges. Issues such as data heterogeneity, interpretability of ML models, and the need for high-quality annotated datasets remain significant barriers. Ethical considerations, including data privacy and the equitable distribution of AI-enabled solutions, are also critical concerns. Addressing these challenges requires collaborative efforts between immunologists, data scientists, and ethicists, ensuring that advancements in AI are harnessed responsibly and inclusively
Computational Immunology
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Author : Josep Bassaganya-Riera
language : en
Publisher: Academic Press
Release Date : 2015-10-21
Computational Immunology written by Josep Bassaganya-Riera and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-21 with Medical categories.
Computational Immunology: Models and Tools encompasses the methodological framework and application of cutting-edge tools and techniques to study immunological processes at a systems level, along with the concept of multi-scale modeling. The book's emphasis is on selected cases studies and application of the most updated technologies in computational modeling, discussing topics such as computational modeling and its usage in immunological research, bioinformatics infrastructure, ODE based modeling, agent based modeling, and high performance computing, data analytics, and multiscale modeling. There are also modeling exercises using recent tools and models which lead the readers to a thorough comprehension and applicability. The book is a valuable resource for immunologists, computational biologists, bioinformaticians, biotechnologists, and computer scientists, as well as all those who wish to broaden their knowledge in systems modeling. - Offers case studies with different levels of complexity - Provides a detailed view on cutting-edge tools for modeling that are useful to experimentalists with limited computational skills - Explores the usage of simulation for hypothesis generation, helping the reader to understand the most valuable points on experimental setting
Microbiome Therapeutics
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Author : Nar Singh Chauhan
language : en
Publisher: Elsevier
Release Date : 2023-05-17
Microbiome Therapeutics written by Nar Singh Chauhan and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-17 with Science categories.
Microbiome Therapeutics: Personalized Therapy Beyond Conventional Approaches addresses the current knowledge and landscape of microbiome therapeutics, providing an overview of existing applications in health and disease as well as potential future directions of microbiome modulations and subsequent translation to the global industry and market. This important reference provides the most current status of microbiome therapeutics as well as possible future perspectives through coverage of topics including the application of microbiome therapeutics; various additive, subtractive and modulatory approaches; microbiome composition of health and diseases, insights into live bio-therapeutics and the clinical data supporting their efficacy. Case studies are provided throughout the book to further define, describe and evaluate microbiome therapeutics success and failure. - Provides chapters focused on illness types to address the potential of microbiome therapeutics in several significant disorders - Offers human gut microbiome explorations that have enriched the understanding of microbiome colonization, maturation, and dysbiosis in health and disease subsets - Addresses important concepts like economic potential in the global therapeutics market as well as ethical, technical, and regulatory aspects
Innovative Theranostic Approaches Towards Neuro Immunology In Gliomas
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Author : Lijie Zhai
language : en
Publisher: Frontiers Media SA
Release Date : 2023-04-05
Innovative Theranostic Approaches Towards Neuro Immunology In Gliomas written by Lijie Zhai and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-05 with Medical categories.
Single Cell Analysis On The Pathophysiology Of Autoimmune Diseases
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Author : Shiang-Jong Tzeng
language : en
Publisher: Frontiers Media SA
Release Date : 2024-07-11
Single Cell Analysis On The Pathophysiology Of Autoimmune Diseases written by Shiang-Jong Tzeng and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-11 with Medical categories.
Despite increasing research to facilitate the understanding of the pathophysiology of autoimmune disorders, the exact cause of the incident of autoimmunity is unknown. Current concepts on the occurrence of autoimmune diseases are thought to involve autoantigens, genetic predisposition, disease triggers, and the breakdown of immune tolerance. In addition to the breakdown of immunological tolerance, one key characteristic of autoimmune disease is that within a single disease there is considerable variability in the clinical manifestation and severity in patients. Single-cell omics have emerged as an effective means of unraveling the complexity and heterogeneity of chronic disease development and therapeutic responses. Recently, advances in cutting-edge spatial profiling of diverse cell types have increased our understanding of how distinct cells interact and orchestrate at specific locations across a tissue landscape in both physiological and pathological contexts at the single-cell level.
Deep Learning In Genetics And Genomics
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Author : Khalid Raza
language : en
Publisher: Elsevier
Release Date : 2024-11-28
Deep Learning In Genetics And Genomics written by Khalid Raza and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-28 with Science categories.
Deep Learning in Genetics and Genomics vol. 1, Foundations and Applications, the intersection of deep learning and genetics opens up new avenues for advancing our understanding of the genetic code, gene regulation, and the broader genomics landscape. The book not only covers the most up-to-date advancements in the field of deep learning in genetics and genomics, but also a wide spectrum of (sub) topics including medical and clinical genetics, predictive medicine, transcriptomic, and gene expression studies. In 21 chapters Deep Learning in Genetics and Genomics vol. 1, Foundations and Applications describes how AI and DL have become increasingly useful in genetics and genomics research where both play a crucial role by accelerating research, improving the understanding of the human genome, and enabling personalized healthcare. From the fundamentals concepts and practical applications of deep learning algorithms to a wide range of challenging problems from genetics and genomics, Deep Learning in Genetics and Genomics vol. 1, Foundations and Applications creates a better knowledge of the biological and genetics mechanisms behind disease illnesses and improves the forecasting abilities using the different methodologies described. This title offers a unique resource for wider, deeper, and in-depth coverage of recent advancement in deep learning-based approaches in genetics and genomics, helping researchers process and interpret vast amounts of genetic data, identify patterns, and make discoveries that would be challenging or impossible using traditional methods. - Brings together fundamental concepts of genetics, genomics, and deep learning - Includes how to build background of solution methodologies and design of mathematical and logical algorithms - Delves into the intersection of deep learning and genetics, offering a comprehensive exploration of how deep learning techniques can be applied to various aspects of genomics
Ai For Immunology
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Author : Louis J. Catania
language : en
Publisher: CRC Press
Release Date : 2021-01-28
Ai For Immunology written by Louis J. Catania and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-28 with Computers categories.
The bioscience of immunology has given us a better understanding of human health and disease. Artificial intelligence (AI) has elevated that understanding and its applications in immunology to new levels. Together, AI for immunology is an advancing horizon in health care, disease diagnosis, and prevention. From the simple cold to the most advanced autoimmune disorders and now pandemics, AI for immunology is unlocking the causes and cures. Key features: A highly accessible and wide-ranging short introduction to AI for immunology Includes a chapter on COVID-19 and pandemics Includes scientific and clinical considerations, as well as immune and autoimmune diseases
Computational Intelligence Assisted Design
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Author : Yi Chen
language : en
Publisher: CRC Press
Release Date : 2018-06-19
Computational Intelligence Assisted Design written by Yi Chen and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-19 with Computers categories.
Computational Intelligence Assisted Design framework mobilises computational resources, makes use of multiple Computational Intelligence (CI) algorithms and reduces computational costs. This book provides examples of real-world applications of technology. Case studies have been used to show the integration of services, cloud, big data technology and space missions. It focuses on computational modelling of biological and natural intelligent systems, encompassing swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems and evolutionary computation. This book provides readers with wide-scale information on CI paradigms and algorithms, inviting readers to implement and problem solve real-world, complex problems within the CI development framework. This implementation framework will enable readers to tackle new problems without difficulty through a few tested MATLAB source codes
Artificial Intelligence And Soft Computing
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Author : Leszek Rutkowski
language : en
Publisher: Springer
Release Date : 2015-06-04
Artificial Intelligence And Soft Computing written by Leszek Rutkowski and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-04 with Computers categories.
The two-volume set LNAI 9119 and LNAI 9120 constitutes the refereed proceedings of the 14th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2015, held in Zakopane, Poland in June 2015. The 142 revised full papers presented in the volumes, were carefully reviewed and selected from 322 submissions. These proceedings present both traditional artificial intelligence methods and soft computing techniques. The goal is to bring together scientists representing both areas of research. The first volume covers topics as follows neural networks and their applications, fuzzy systems and their applications, evolutionary algorithms and their applications, classification and estimation, computer vision, image and speech analysis and the workshop: large-scale visual recognition and machine learning. The second volume has the focus on the following subjects: data mining, bioinformatics, biometrics and medical applications, concurrent and parallel processing, agent systems, robotics and control, artificial intelligence in modeling and simulation and various problems of artificial intelligence.