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Machine Learning Advanced Dynamic Omics Data Analysis For Precision Medicine


Machine Learning Advanced Dynamic Omics Data Analysis For Precision Medicine
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Machine Learning Advanced Dynamic Omics Data Analysis For Precision Medicine


Machine Learning Advanced Dynamic Omics Data Analysis For Precision Medicine
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Author : Tao Zeng
language : en
Publisher: Frontiers Media SA
Release Date : 2020-03-30

Machine Learning Advanced Dynamic Omics Data Analysis For Precision Medicine written by Tao Zeng 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 2020-03-30 with categories.




Chinese Power And Artificial Intelligence


Chinese Power And Artificial Intelligence
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Author : William C. Hannas
language : en
Publisher: Taylor & Francis
Release Date : 2022-07-29

Chinese Power And Artificial Intelligence written by William C. Hannas and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-29 with History categories.


This book provides a comprehensive account of Chinese AI in its various facets, based on primary Chinese-language sources. China’s rise as an AI power is an event of importance to the world and a potential challenge to liberal democracies. Filling a gap in the literature, this volume is fully documented, data-driven, and presented in a scholarly format suitable for citation and for supporting downstream research, while also remaining accessible to laypersons. It brings together 15 recognized international experts to present a full treatment of Chinese artificial intelligence. The volume contains chapters on state, commercial, and foreign sources of China’s AI power; China’s AI talent, scholarship, and global standing; the impact of AI on China’s development of cutting-edge disciplines; China’s use of AI in military, cyber, and surveillance applications; AI safety, threat mitigation, and the technology’s likely trajectory. The book ends with recommendations drawn from the authors’ interactions with policymakers and specialists worldwide, aimed at encouraging AI’s healthy development in China and preparing the rest of the world to engage with it. This book will be of much interest to students of Chinese politics, science and technology studies, security studies and international relations.



Cognitive Informatics And Soft Computing


Cognitive Informatics And Soft Computing
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Author : Pradeep Kumar Mallick
language : en
Publisher: Springer Nature
Release Date : 2021-07-01

Cognitive Informatics And Soft Computing written by Pradeep Kumar Mallick and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-01 with Computers categories.


This book presents best selected research papers presented at the 3rd International Conference on Cognitive Informatics and Soft Computing (CISC 2020), held at Balasore College of Engineering & Technology, Balasore, Odisha, India, from 12 to 13 December 2020. It highlights, in particular, innovative research in the fields of cognitive informatics, cognitive computing, computational intelligence, advanced computing, and hybrid intelligent models and applications. New algorithms and methods in a variety of fields are presented, together with solution-based approaches. The topics addressed include various theoretical aspects and applications of computer science, artificial intelligence, cybernetics, automation control theory, and software engineering.



Diagnostic Advances In Precision Medicine And Drug Development


Diagnostic Advances In Precision Medicine And Drug Development
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Author : Emmanuel Kwaku Ofori
language : en
Publisher: CRC Press
Release Date : 2025-06-18

Diagnostic Advances In Precision Medicine And Drug Development written by Emmanuel Kwaku Ofori and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-18 with Medical categories.


To arrive at the most appropriate decision regarding patient management, an essential step for medical practitioners is to determine a correct and accurate diagnosis of the patient’s condition. In recent years there have been significant technological efforts in chemistry, biochemistry, laboratory science, and biotechnology toward improving disease diagnosis and management in patients. Further, drug developers have utilized some of these novel diagnostic methods during preclinical and clinical trials that have led to creating efficiencies in their development processes. This book provides an overview of diagnostic procedures that aid in precision medicine and the drug development process. Presents innovative methodologies for diagnostic testing that will be beneficial to biomedical science researchers and health professionals Discusses recent significant technological advancement toward improving disease diagnosis Describes recent developments in spectroscopic and chromatographic methods that will be of interest to pharma companies and scientists in chemistry, biochemistry and pharmacology Gives an overview of the integration of artificial intelligence in digital health that will be beneficial to biotechnologists, bioengineers, health professionals and people in regulatory agencies Is suitable globally for graduate and postgraduate students studying laboratory medicine



Computational Methods For Multi Omics Data Analysis In Cancer Precision Medicine


Computational Methods For Multi Omics Data Analysis In Cancer Precision Medicine
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Author : Ehsan Nazemalhosseini-Mojarad
language : en
Publisher: Frontiers Media SA
Release Date : 2023-08-02

Computational Methods For Multi Omics Data Analysis In Cancer Precision Medicine written by Ehsan Nazemalhosseini-Mojarad 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 2023-08-02 with Science categories.


Cancer is a complex and heterogeneous disease often caused by different alterations. The development of human cancer is due to the accumulation of genetic and epigenetic modifications that could affect the structure and function of the genome. High-throughput methods (e.g., microarray and next-generation sequencing) can investigate a tumor at multiple levels: i) DNA with genome-wide association studies (GWAS), ii) epigenetic modifications such as DNA methylation, histone changes and microRNAs (miRNAs) iii) mRNA. The availability of public datasets from different multi-omics data has been growing rapidly and could facilitate better knowledge of the biological processes of cancer. Computational approaches are essential for the analysis of big data and the identification of potential biomarkers for early and differential diagnosis, and prognosis.



Systems Biology And Machine Learning Methods In Reproductive Health


Systems Biology And Machine Learning Methods In Reproductive Health
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Author : Abhishek Sengupta
language : en
Publisher: CRC Press
Release Date : 2025-01-10

Systems Biology And Machine Learning Methods In Reproductive Health written by Abhishek Sengupta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-10 with Computers categories.


Systems Biology and Machine Learning Methods in Reproductive Health is an innovative and wide-ranging book that discovers the synergetic combination of disciplines: systems biology and machine learning, with an application in the field of reproductive health. This book assembles the expertise of leading scientists and clinicians to present a compilation of cutting-edge techniques and case studies utilizing computational methods to elucidate intricate biological systems, elucidate reproductive pathways, and address critical issues in the fields of fertility, pregnancy, and reproductive disorders. Bringing science and data science together, this groundbreaking book provides scientists, clinicians, and students with a step-by-step guide to uncovering the complexities of reproductive health through cutting-edge computational tools.



Deep Learning In Genetics And Genomics


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. 2 (Advanced Applications) delves into the Deep Learning methods and their applications in various fields of studies, including genetics and genomics, bioinformatics, health informatics and medical informatics generating the momentum of today's developments in the field. In 25 chapters this title covers advanced applications in the field which includes deep learning in predictive medicines), analysis of genetic and clinical features, transcriptomics and gene expression patterns analysis, clinical decision support in genetic diagnostics, deep learning in personalised genomics and gene editing, and understanding genetic discoveries through Explainable AI. Further, it also covers various deep learning-based case studies, making this book a unique resource for wider, deeper, and in-depth coverage of recent advancement in deep learning based approaches. This volume is not only a valuable resource for health educators, clinicians, and healthcare professionals but also to graduate students of genetics, genomics, biology, biostatistics, biomedical sciences, bioinformatics, and interdisciplinary sciences. - Embraces the potential that deep learning holds for understanding genome biology - Encourages further advances in this area, extending to all aspects of genomics research - Provides Deep Learning algorithms in genetic and genomic research



Artificial Intelligence And Machine Learning For Healthcare


Artificial Intelligence And Machine Learning For Healthcare
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Author : Chee-Peng Lim
language : en
Publisher: Springer Nature
Release Date : 2022-09-26

Artificial Intelligence And Machine Learning For Healthcare written by Chee-Peng Lim and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-26 with Technology & Engineering categories.


Artificial intelligence (AI) and machine learning (ML) have transformed many standard and conventional methods in undertaking health and well-being issues of humans. AL/ML-based systems and tools play a critical role in this digital and big data era to address a variety of medical and healthcare problems, improving treatments and quality of care for patients. This edition on AI and ML for healthcare consists of two volumes. The first presents selected AI and ML studies on medical imaging and healthcare data analytics, while the second unveils emerging methodologies and trends in AI and ML for delivering better medical treatments and healthcare services in the future. In this first volume, progresses in AI and ML technologies for medical image, video, and signal processing as well as health information and data analytics are presented. These selected studies offer readers theoretical and practical knowledge and ideas pertaining to recent advances in AI and ML for effective and efficient image and data analytics, leading to state-of-the-art AI and ML technologies for advancing the healthcare sector.



Omics


Omics
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Author : Ronald Legarski
language : en
Publisher: SolveForce
Release Date : 2025-02-27

Omics written by Ronald Legarski and has been published by SolveForce this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-27 with Language Arts & Disciplines categories.


Omics represents a groundbreaking shift in how complex systems are understood, analyzed, and interconnected, offering a unified, recursive framework for studying the intricate relationships across all fields of knowledge. By integrating multiple layers of analysis and leveraging advanced computational methodologies, Omics provides a systemic approach to decoding the fundamental patterns governing both natural and artificial systems. Origin and Concept of Omics Rooted in its etymology, Omics is derived from the Greek suffix "-ōmē," signifying comprehensive, system-wide analysis. Unlike "-ics," which denotes a discipline or practice, "-omics" embodies a holistic study of interconnected systems, marking the shift from reductionist methodologies to recursive, systemic integration. Omics transcends traditional disciplinary boundaries by incorporating: Nomic Principles → The governing laws that structure systems Axionomics → The axiomatic foundations of universal knowledge Isonomics → The equilibrium and systemic correspondence between knowledge structures Lanomics → The linguistic singularity as the absolute organizing principle of knowledge Atonomics → The atomic and quantum foundations of physical and informational structures The Recursive Framework Unlike traditional static models, Omics functions as a self-referential, recursive framework, ensuring that each domain influences and is influenced by the others. This meta-analytical structure allows for deep comprehension of complex systems by mapping recursive interconnections and self-organizing patterns across biological, physical, linguistic, and computational sciences. Key Integrative Components: Unified Omics Intelligence → AI-driven modeling of systemic relationships Quantum-Assisted Universal Mapping → Integration of energy, matter, and informational coherence Biological and Genetic Systems Integration → Standardizing complex biological structures into a universal systemic framework As a meta-structure, Omics governs recursive, self-regulating, and systemically complete knowledge models, ensuring structural integrity and sustainable systemic coherence. This revolutionary framework unites seemingly disparate domains into a singular, dynamic system, redefining scientific analysis, knowledge synthesis, and interdisciplinary integration for an era of advanced intelligence and universal comprehension.



Hormonal Detox


Hormonal Detox
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Author : Laura Anderson
language : en
Publisher: Publifye AS
Release Date : 2025-03-17

Hormonal Detox written by Laura Anderson and has been published by Publifye AS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-17 with Health & Fitness categories.


Are you seeking to regain control over your health by understanding and supporting your body's natural detoxification processes? ""Hormonal Detox"" offers a comprehensive exploration of how your endocrine system, the collection of glands that produce hormones, interacts with detoxification pathways to influence overall well-being. The book emphasizes the liver, kidneys, and digestive system as key players in neutralizing and eliminating excess hormones, highlighting the impact of environmental toxins and lifestyle choices on hormonal balance. The book's structure begins by explaining the basics of hormone production and regulation, and it then progresses to discussing the body's detoxification pathways. Later chapters delve into the effects of diet, exercise, and stress management. What makes ""Hormonal Detox"" unique is its science-backed, accessible approach, moving beyond generic advice to offer tailored guidance for the endocrine system. It emphasizes sustainable lifestyle changes, helping you create a personalized approach to achieve lasting hormone balance and reproductive health.