Leveraging Machine Learning for Omics-driven Biomarker Discovery PDF Download
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Author: Sheng Li
Publisher: Frontiers Media SA
ISBN: 2832510000
Category : Science
Languages : en
Pages : 160
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Book Description
Author: Sheng Li
Publisher: Frontiers Media SA
ISBN: 2832510000
Category : Science
Languages : en
Pages : 160
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Book Description
Author: Manish Soni
Publisher:
ISBN:
Category : Study Aids
Languages : en
Pages : 305
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Book Description
"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.
Author: Ying Wang
Publisher: Frontiers Media SA
ISBN: 2832539351
Category : Medical
Languages : en
Pages : 141
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Book Description
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.
Author: Mehdi Pirooznia
Publisher: Frontiers Media SA
ISBN: 2889667251
Category : Science
Languages : en
Pages : 143
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Book Description
Author: Dr. Alok Kumar Srivastav
Publisher: Namya Press
ISBN: 9355452845
Category : Computers
Languages : en
Pages : 356
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Book Description
"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.
Author: Indranath Chatterjee
Publisher: CRC Press
ISBN: 1040216293
Category : Medical
Languages : en
Pages : 273
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Book Description
Unveil the next frontier in neurodegenerative disorder research with Integrating Neuroimaging, Computational Neuroscience, and Artificial Intelligence. This groundbreaking book goes beyond traditional approaches, utilizing the power of interdisciplinary integration to illuminate new pathways in diagnosis and treatment. From AI-driven diagnostics to computational neuroscience models, this book showcases the forefront of innovation. Join us in exploring the future of neurodegenerative care, where collaboration and cutting-edge technology converge to redefine possibilities. Key Features: Integrates diverse fields of research, from neuroimaging to computational neuroscience and Artificial Intelligence. Emphasizes the translation of research findings into practical applications, ultimately benefitting patients and clinical practice. Reviews the implementation of Artificial Intelligence and computational models in diagnostic settings. Elucidates the current state of translational neuroscience exploring potential areas for further research and collaboration, including personalized treatments and drug development. Contributions from an international team of experts from diverse disciplines.
Author: Michael Mahler
Publisher: Academic Press
ISBN: 032385432X
Category : Science
Languages : en
Pages : 302
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Book Description
Precision Medicine and Artificial Intelligence: The Perfect Fit for Autoimmunity covers background on artificial intelligence (AI), its link to precision medicine (PM), and examples of AI in healthcare, especially autoimmunity. The book highlights future perspectives and potential directions as AI has gained significant attention during the past decade. Autoimmune diseases are complex and heterogeneous conditions, but exciting new developments and implementation tactics surrounding automated systems have enabled the generation of large datasets, making autoimmunity an ideal target for AI and precision medicine. More and more diagnostic products utilize AI, which is also starting to be supported by regulatory agencies such as the Food and Drug Administration (FDA). Knowledge generation by leveraging large datasets including demographic, environmental, clinical and biomarker data has the potential to not only impact the diagnosis of patients, but also disease prediction, prognosis and treatment options. - Allows the readers to gain an overview on precision medicine for autoimmune diseases leveraging AI solutions - Provides background, milestone and examples of precision medicine - Outlines the paradigm shift towards precision medicine driven by value-based systems - Discusses future applications of precision medicine research using AI - Other aspects covered in the book include regulatory insights, data analytics and visualization, types of biomarkers as well as the role of the patient in precision medicine
Author: Abhishek Sengupta
Publisher: Springer Nature
ISBN: 9819774519
Category :
Languages : en
Pages : 235
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Book Description
Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 0309224187
Category : Science
Languages : en
Pages : 354
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Book Description
Technologies collectively called omics enable simultaneous measurement of an enormous number of biomolecules; for example, genomics investigates thousands of DNA sequences, and proteomics examines large numbers of proteins. Scientists are using these technologies to develop innovative tests to detect disease and to predict a patient's likelihood of responding to specific drugs. Following a recent case involving premature use of omics-based tests in cancer clinical trials at Duke University, the NCI requested that the IOM establish a committee to recommend ways to strengthen omics-based test development and evaluation. This report identifies best practices to enhance development, evaluation, and translation of omics-based tests while simultaneously reinforcing steps to ensure that these tests are appropriately assessed for scientific validity before they are used to guide patient treatment in clinical trials.
Author: Kumar, Abhishek
Publisher: IGI Global
ISBN:
Category : Medical
Languages : en
Pages : 536
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Book Description
The integration of generative AI and deep learning techniques for Alzheimer's disease detection significantly impacts the research community by advancing diagnostic accuracy and providing a comprehensive understanding of the disease. By combining multiple data modalities, including imaging, genetics, and clinical data, researchers can improve diagnostic precision and develop personalized treatment strategies. Generative AI facilitates efficient data utilization through dataset augmentation, fostering innovation and collaboration across interdisciplinary fields. These methodologies forward the exploration of new diagnostic tools while expediting their application in clinical practice, benefiting patients through early detection and intervention. The incorporation of generative AI may enhance research capabilities, promote collaboration, and improve Alzheimer's disease management and patient outcomes. Deep Generative Models for Integrative Analysis of Alzheimer's Biomarkers explores the integration of deep generative models in disease diagnosis, biomarking, and prediction. It examines the use of tools like data analysis, natural language processing, and machine learning for effective Alzheimer’s research. This book covers topics such as data analysis, biomedicine, and machine learning, and is a useful resource for computer engineers, biologists, scientists, medical professionals, healthcare workers, academicians, and researchers.
