Artificial Intelligence In Predicting Determining And Controlling Cell Phenotype Or Tissue Function In Inflammatory Diseases PDF Download
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| Author | : Melanie L. Hart |
| Publisher | : Frontiers Media SA |
| Total Pages | : 275 |
| Release | : 2024-05-10 |
| Genre | : Medical |
| ISBN | : 2832548970 |
Download Artificial intelligence in predicting, determining and controlling cell phenotype or tissue function in inflammatory diseases Book in PDF, ePub and Kindle
The last decade has seen rapid development in the use of computational techniques at bulk tissue and single-cell level. However, our knowledge remains limited in this regard, and further progress is needed, especially in inflammatory and degenerative diseases. Controlling, modeling, or predicting cellular phenotype in this context using artificial intelligence (AI) will greatly improve the available in vitro, in situ, in vivo, and in silico methods, but also aid in the understanding of disease pathology and therapeutic efficiency. These methods not only have ramifications for our pathophysiological understanding of tissue function but are also important for advancing AI methods in cell culture, tissue explants, or in vivo for immunologically relevant characteristics of single cells, cell populations, and tissues to predict cell or tissue function.
| Author | : Michael Mahler |
| Publisher | : Academic Press |
| Total Pages | : 300 |
| Release | : 2021-03-12 |
| Genre | : Science |
| ISBN | : 032385432X |
Download Precision Medicine and Artificial Intelligence Book in PDF, ePub and Kindle
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 | : Erik R. Ranschaert |
| Publisher | : Springer |
| Total Pages | : 373 |
| Release | : 2019-01-29 |
| Genre | : Medical |
| ISBN | : 3319948784 |
Download Artificial Intelligence in Medical Imaging Book in PDF, ePub and Kindle
This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.
| Author | : Nathan Brown |
| Publisher | : Royal Society of Chemistry |
| Total Pages | : 425 |
| Release | : 2020-11-04 |
| Genre | : Computers |
| ISBN | : 1839160543 |
Download Artificial Intelligence in Drug Discovery Book in PDF, ePub and Kindle
Following significant advances in deep learning and related areas interest in artificial intelligence (AI) has rapidly grown. In particular, the application of AI in drug discovery provides an opportunity to tackle challenges that previously have been difficult to solve, such as predicting properties, designing molecules and optimising synthetic routes. Artificial Intelligence in Drug Discovery aims to introduce the reader to AI and machine learning tools and techniques, and to outline specific challenges including designing new molecular structures, synthesis planning and simulation. Providing a wealth of information from leading experts in the field this book is ideal for students, postgraduates and established researchers in both industry and academia.
| Author | : Josep Bassaganya-Riera |
| Publisher | : Springer |
| Total Pages | : 88 |
| Release | : 2018-04-25 |
| Genre | : Medical |
| ISBN | : 3319732382 |
Download Accelerated Path to Cures Book in PDF, ePub and Kindle
Accelerated Path to Cures provides a transformative perspective on the power of combining advanced computational technologies, modeling, bioinformatics and machine learning approaches with nonclinical and clinical experimentation to accelerate drug development. This book discusses the application of advanced modeling technologies, from target identification and validation to nonclinical studies in animals to Phase 1-3 human clinical trials and post-approval monitoring, as alternative models of drug development. As a case of successful integration of computational modeling and drug development, we discuss the development of oral small molecule therapeutics for inflammatory bowel disease, from the application of docking studies to screening new chemical entities to the development of next-generation in silico human clinical trials from large-scale clinical data. Additionally, this book illustrates how modeling techniques, machine learning, and informatics can be utilized effectively at each stage of drug development to advance the progress towards predictive, preventive, personalized, precision medicine, and thus provide a successful framework for Path to Cures.
| Author | : Marinos C. Dalakas |
| Publisher | : Butterworth-Heinemann |
| Total Pages | : 362 |
| Release | : 2013-10-22 |
| Genre | : Health & Fitness |
| ISBN | : 1483163040 |
Download Polymyositis and Dermatomyositis Book in PDF, ePub and Kindle
Polymyositis and Dermatomyositis provides extensive information regarding Polymyositis and Dermatomyositis (PM/DM), which is described as a heterogeneous disease complex. This book is divided into four sections: Part I (Clinical Features) covers the classification of PM/DM, details of the clinical presentation, and the disease's association with the other connective tissue disorders and malignancies. Part II (Etiology and Mechanisms) covers advances in the immunopathology and viral etiology of PM/DM along with a frequently recognized entity: inclusion body myositis. Part III (Diagnosis and Treatment) covers the histologic, muscle enzyme histochemical, electron microscopic, and resin histology features of PM/DM along with those electromyographic features that could help make a more accurate diagnosis. Part IV (Overview) summarizes the issues that may not have been clear and highlights differing and unsettled views or present available data. This text is directed to clinicians in private practice or in academic institutions concerned with PM/DM patients, including neurologists, rheumatologists, pediatricians, dermatologists, physiatrists, and neuromuscular investigators. This book is intended as well for neuromuscular pathologists who interpret muscle biopsy specimens and electromyographers who perform EMG studies to help determine the clinical diagnosis. Researchers in immunology and immunopathology of neuromuscular diseases will find discussions in this book invaluable.
| Author | : Quan Zou |
| Publisher | : Frontiers Media SA |
| Total Pages | : 485 |
| Release | : 2019-12-04 |
| Genre | : |
| ISBN | : 2889632148 |
Download Machine Learning Techniques on Gene Function Prediction Book in PDF, ePub and Kindle
| Author | : George P. Patrinos |
| Publisher | : Academic Press |
| Total Pages | : 406 |
| Release | : 2019-11-13 |
| Genre | : Science |
| ISBN | : 0128136960 |
Download Applied Genomics and Public Health Book in PDF, ePub and Kindle
Applied Genomics and Public Health examines the interdisciplinary and growing area of how evidence-based genomic knowledge can be applied to public health, population health, healthcare and health policies. The book gathers experts from a variety of disciplines, including life sciences, social sciences, and health care to develop a comprehensive overview of the field. In addition, the book delves into subjects such as pharmacogenomics, genethics, big data, data translation and analysis, economic evaluation, genomic awareness and education, sociology, pricing and reimbursement, policy measures and economic evaluation in genomic medicine. This book is essential reading for researchers and students exploring applications of genomics to population and public health. In addition, it is ideal for those in the biomedical sciences, medical sociologists, healthcare professionals, nurses, regulatory bodies and health economists interested in learning more about this growing field. Explores the growing application of genomics to population and public health Features internationally renowned contributors from a variety of related fields Contains chapters on important topics such as genomic data sharing, genethics and public health genomics, genomics and sociology, and regulatory aspects of genomic medicine and pharmacogenomics
| Author | : Yaoliang Tang |
| Publisher | : Academic Press |
| Total Pages | : 287 |
| Release | : 2015-09-02 |
| Genre | : Science |
| ISBN | : 0128004975 |
Download Mesenchymal Stem Cell Derived Exosomes Book in PDF, ePub and Kindle
Mesenchymal stem cell-derived exosomes are at the forefront of research in two of the most high profile and funded scientific areas – cardiovascular research and stem cells. Mesenchymal Stem Cell Derived Exosomes provides insight into the biofunction and molecular mechanisms, practical tools for research, and a look toward the clinical applications of this exciting phenomenon which is emerging as an effective diagnostic. Primarily focused on the cardiovascular applications where there have been the greatest advancements toward the clinic, this is the first compendium for clinical and biomedical researchers who are interested in integrating MSC-derived exosomes as a diagnostic and therapeutic tool. Introduces the MSC-exosome mediated cell-cell communication Covers the major functional benefits in current MSC-derived exosome studies Discusses strategies for the use of MSC-derived exosomes in cardiovascular therapies
| Author | : National Research Council |
| Publisher | : National Academies Press |
| Total Pages | : 142 |
| Release | : 2012-01-16 |
| Genre | : Medical |
| ISBN | : 0309222222 |
Download Toward Precision Medicine Book in PDF, ePub and Kindle
Motivated by the explosion of molecular data on humans-particularly data associated with individual patients-and the sense that there are large, as-yet-untapped opportunities to use this data to improve health outcomes, Toward Precision Medicine explores the feasibility and need for "a new taxonomy of human disease based on molecular biology" and develops a potential framework for creating one. The book says that a new data network that integrates emerging research on the molecular makeup of diseases with clinical data on individual patients could drive the development of a more accurate classification of diseases and ultimately enhance diagnosis and treatment. The "new taxonomy" that emerges would define diseases by their underlying molecular causes and other factors in addition to their traditional physical signs and symptoms. The book adds that the new data network could also improve biomedical research by enabling scientists to access patients' information during treatment while still protecting their rights. This would allow the marriage of molecular research and clinical data at the point of care, as opposed to research information continuing to reside primarily in academia. Toward Precision Medicine notes that moving toward individualized medicine requires that researchers and health care providers have access to very large sets of health- and disease-related data linked to individual patients. These data are also critical for developing the information commons, the knowledge network of disease, and ultimately the new taxonomy.
