Leveraging Machine Learning For Omics Driven Biomarker Discovery
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Leveraging Machine Learning For Omics Driven Biomarker Discovery
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Author : Sheng Li
language : en
Publisher: Frontiers Media SA
Release Date : 2023-02-14
Leveraging Machine Learning For Omics Driven Biomarker Discovery written by Sheng Li 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 2023-02-14 with Science categories.
Applications Of Multi Omics
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Author : Richard Skiba
language : en
Publisher: After Midnight Publishing
Release Date : 2025-02-19
Applications Of Multi Omics written by Richard Skiba and has been published by After Midnight Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-19 with Medical categories.
In the era of big data and personalized medicine, Applications of Multi-Omics serves as a comprehensive guide to integrating biological data across genomics, transcriptomics, proteomics, metabolomics, and epigenomics. This book explores how multi-omics technologies provide a holistic view of biological systems, transforming our understanding of human health, disease mechanisms, drug development, and environmental science. Written for researchers, healthcare professionals, and students in life sciences, this book breaks down complex concepts into accessible insights, covering key methodologies, computational approaches, and real-world applications. From precision medicine and biomarker discovery to AI-driven data integration and ethical considerations, Applications of Multi-Omics provides a deep dive into how multi-layered biological data is revolutionizing biomedical research and healthcare. Whether you are an academic researcher seeking to integrate multi-omics in your studies, a clinician exploring omics-driven diagnostics, or a data scientist working at the intersection of AI and life sciences, this book is an essential resource. It highlights emerging trends, challenges, and future directions in multi-omics, paving the way for groundbreaking discoveries in personalized medicine, biotechnology, and agricultural research. Join the multi-omics revolution and uncover the intricate biological networks shaping the future of science and medicine.
Ai Personalized Medicine Therapy
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Author : Joohee Pradhan
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2025-02-05
Ai Personalized Medicine Therapy written by Joohee Pradhan and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-05 with Computers categories.
Discover how artificial intelligence is revolutionizing healthcare with this book, edited by Dr Joohee Pradhan and Dr Ajay Kumar Shukla. This insightful book highlights the groundbreaking applications of AI in medical treatment, from precision diagnostics and drug discovery to robotic surgeries and telemedicine. It explores the transformative potential of technologies like machine learning and natural language processing to deliver personalized, efficient, and cost-effective care. Addressing both the promise and the challenges, the book examines critical topics such as AI-driven decision support, remote patient monitoring, and the ethical considerations of data privacy and algorithmic bias. Bridging the gap between innovation and real-world applications, this book is an essential resource for healthcare professionals, researchers, and technology enthusiasts looking to understand and harness AI’s potential in medicine. Transform the way you think about healthcare with this comprehensive and forward-looking exploration of AI’s role in shaping the future.
Deep Learning
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Author : Manish Soni
language : en
Publisher:
Release Date : 2024-11-13
Deep Learning written by Manish Soni and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-13 with Computers categories.
Welcome to "Deep Learning: A Comprehensive Guide," a book meticulously designed to cater to the needs of learners at various stages of their journey into the fascinating world of deep learning. Whether you are a beginner embarking on your first exploration into artificial intelligence or a seasoned professional looking to deepen your expertise, this book aims to be your trusted companion. Deep learning, a subset of machine learning, has revolutionized the field of artificial intelligence, enabling advancements that were once thought to be the stuff of science fiction. From autonomous vehicles to sophisticated natural language processing systems, deep learning has become the backbone of many cutting-edge technologies. Understanding and mastering deep learning is not just a desirable skill but a necessity for anyone looking to thrive in the modern tech landscape. What This Book Offers This book is not just a theoretical exposition but a practical guide designed to provide you with a holistic learning experience. Here's a glimpse of what you can expect: Structured Content: Starts with neural network basics and advances to topics like convolutional, recurrent, and generative adversarial networks. Each chapter builds on the previous, ensuring a comprehensive learning journey. Online Practice Questions: Each chapter includes practice questions from basic to advanced levels to test and reinforce your understanding. Videos: Instructional videos complement the book's content, offering step-by-step explanations and real-life applications. Exercises and Projects: Includes exercises and hands-on projects that simulate real-world problems, providing practical experience. Lab Activities: Features lab activities using frameworks like TensorFlow and PyTorch for hands-on experimentation with deep learning models. Case Studies: Illustrates the application of deep learning in industries such as healthcare, finance, and entertainment, highlighting its transformative potential. Comprehensive Coverage: Covers a broad spectrum of topics, from theoretical foundations to practical implementations, latest advancements, ethical considerations, and future trends. Who Should Use This Book? This book is designed for: Students and Academics: Pursuing studies in computer science, data science, or related fields. Industry Professionals: Enhancing skills or transitioning into roles involving deep learning. Embarking on the journey to master deep learning is both challenging and rewarding. This book is designed to make that journey as smooth and enlightening as possible. We hope that the combination of theoretical knowledge, practical exercises, projects, and real-world applications will equip you with the skills and confidence needed to excel in the field of deep learning.
Artificial Intelligence In Human Health And Diseases
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Author : Muzafar A. Macha
language : en
Publisher: Springer Nature
Release Date : 2025-07-17
Artificial Intelligence In Human Health And Diseases written by Muzafar A. Macha and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-17 with Medical categories.
This book discusses current concepts and future translational possibilities of Artificial Intelligence (AI) in human healthcare and diseases. The initial chapter reviews the application and integration of AI and multi-omics to develop novel diagnostic and therapeutic strategies. The book chapter also explores the recent advances in data-driven approaches that aided state-of-the-art AI for biomarker discovery and better disease diagnosis. The book also offers computational and oncological prospects for the role of AI in radio genomics, as well as its offers, achievements, opportunities, and limitations in the current clinical practices. The chapters further cover the role of the current state of AI in Cardiovascular Disease, Obesity and Diabetes, Neurological Diseases, and Infectious Diseases. Towards the end, the book highlights the use of AI in diverse pharmaceutical industry sectors, including drug discovery and development, drug repurposing, and improving pharmaceutical productivity. This book is handy for basic, translational, clinical & interdisciplinary researchers and bioinformaticians.
Revolutions In Human Biospecimen Study Leveraging New Technologies To Explore The Pathology Therapeutics And Biomarkers For Atherosclerotic Disease
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Author : Ying Wang
language : en
Publisher: Frontiers Media SA
Release Date : 2023-11-20
Revolutions In Human Biospecimen Study Leveraging New Technologies To Explore The Pathology Therapeutics And Biomarkers For Atherosclerotic Disease written by Ying Wang 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 2023-11-20 with Medical categories.
Over the last few years, new high-throughput biotechnologies are revolutionizing our ways to utilize human biospecimens for understanding atherosclerotic disease. These recent advances allow deep profiling of individual cells at the genomics, epigenomics, transcriptomics and proteomics levels, or even simultaneous detection of various combinations of ‘Omics’ in the same cell. Additionally, novel methods to integrate data at different levels from tissue sections and dissociated tissues are the emerging trends in large and institutional biobank studies. Growing literature has shown the value of such sequencing and bioinformatic strategies in shedding light on (1) how risk genes, as identified by the Genome-Wide Association Study, contribute to atherogenesis (genotype to phenotype), and (2) how features of atherosclerotic lesions affect patient response in clinical trials (phenotype to the clinical outcome). The hybrid of cutting-edge biotechnologies and bioinformatic approaches helps us maximize biobank resources to accelerate bench-to-bedside research.
Machine Learning And Network Driven Integrative Genomics
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Author : Mehdi Pirooznia
language : en
Publisher: Frontiers Media SA
Release Date : 2021-04-29
Machine Learning And Network Driven Integrative Genomics written by Mehdi Pirooznia 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 2021-04-29 with Science categories.
Biomarker Landscape In Cancer Research
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Author : Ranjita Shegokar
language : en
Publisher: Academic Press
Release Date : 2025-05-23
Biomarker Landscape In Cancer Research written by Ranjita Shegokar and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-23 with Science categories.
Biomarker Landscape in Cancer Research examines the impact of early detection, predication of aggressiveness, and the determination of the best treatment for cancers. With a strong focus on the status, challenges, and prospects of biomarker measurements' tools and technology, the book also examines clinical translation-related knowledge and the prognosis of different organ related cancers. In 21 chapters, it describes current and new diagnostic tools in twenty different cancers and explores how innovations in the cancer diagnostic space could make cancer screening and early detection more straightforward.This book is a timely and valuable resource for health professionals, scientists and researchers, health practitioners, students, and all those who wish to broaden their knowledge in the allied field. - Provides essential information on the most recent developments in the biomarker landscape of different cancer types - Explains current technologies and their applications in the biomarker cancer research landscape - Includes contributions from oncologists, biomedical engineers, pharmaceutical scientists, and manufacturers
Ai And Biotech In Pharmaceutical Research Synergies In Drug Discovery
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Author : Dr. Alok Kumar Srivastav
language : en
Publisher: Namya Press
Release Date : 2024-08-25
Ai And Biotech In Pharmaceutical Research Synergies In Drug Discovery written by Dr. Alok Kumar Srivastav and has been published by Namya Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-25 with Computers categories.
"AI and Biotech in Pharmaceutical Research: Synergies in Drug Discovery" offers a comprehensive exploration of the transformative role AI plays in modern drug discovery and development. The book delves into the integration of artificial intelligence with biotechnological advances, highlighting how these synergies are revolutionizing every stage of the pharmaceutical research process. From the basics of drug discovery to cutting-edge applications in personalized medicine and rare diseases, each chapter unravels the complexities of AI-driven approaches. It covers the impact of machine learning, predictive modeling, and computational biology, while also addressing ethical considerations, algorithmic bias, and regulatory challenges. Real-world case studies and success stories provide tangible examples of AI's potential to accelerate drug development and address unmet medical needs. The book also forecasts future trends, emphasizing the importance of interdisciplinary collaboration, innovative startups, and emerging technologies like blockchain. A must-read for professionals, researchers, and enthusiasts, this book presents a forward-looking view of how AI is reshaping the pharmaceutical landscape, driving innovation, and ultimately improving global health outcomes.
Artificial Intelligence Ai In Cell And Genetic Engineering
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Author : Sudip Mandal
language : en
Publisher: Springer Nature
Release Date : 2025-06-24
Artificial Intelligence Ai In Cell And Genetic Engineering written by Sudip Mandal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-24 with Technology & Engineering categories.
This volume focuses on how different artificial intelligence (AI) techniques like Artificial Neural Network, Support Vector Machine, Random Forest, k-means Clustering, Rough Set Theory, and Convolutional Neural Network models are used in areas of cell and genetic engineering. The chapters this book cover a variety of topics such as molecular modelling in drug discovery, design of precision medicine, protein structure prediction, and analysis using AI. Readers can also learn about AI-based biomolecular spectroscopy, cell culture-system, AI-based drug discovery, and next generation sequencing. The book also discusses the application of AI in analysis of genetic diseases such as finding genetic insights of oral and maxillofacial cancer, early screening and diagnosis of autism, and classification of breast cancer microarray data. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, Artificial Intelligence (AI) in Cell and Genetic Engineering is a valuable resource for readers in various research communities who want to learn more about the real-life application of artificial intelligence and machine learning in systems biology, biotechnology, bioinformatics, and health-informatics especially in the field of cell and genetic engineering.