Pranav Kumar Prabhakar is currently working as Professor and Head at Research and Development Cell, Lovely Professional University, Punjab, India. He is one among the World’s Top 2% Scientists (list published by Stanford University, USA, 2021 and 2022). He has completed his Ph.D. in Biotechnology from IIT Madras. His main area of research interest focuses on elucidating molecular mechanism and strategies for oral insulin delivery and mimics the signaling pathways in metabolic disorders (diabetes) with natural products. He is Member of Royal Society of Chemistry, and Asia-Pacific Chemical, Biological & Environmental Engineering Society. He is also serving as Editorial Board Member and Reviewer for many reputed national and international journals. He received honors and is Recipient of travel grant toward attending ATTD 2009 in Greece from Indian Institute of Technology Madras & Council for Scientific and Industrial Research (CSIR) and approved by Department of Science and Technology (DST). He has published 75+ research articles in journals, authored 3 books, and 14 chapters. He also delivered 9 oral and poster presentations in scientific meeting.
Ashok K Sah is working as an Assistant Professor in the Department of Medical Laboratory Sciences, College of Allied & Health Sciences, A’ Sharqyiah University, Ibra Oman. I was a professor & Program Chair for Postgraduate Research at the Department of Medical Laboratory Technology, School of Allied Health Science, Galgotias University (GU), India, Before joining A’ Sharqyiah University. Before GU, I worked as an associate professor and Head at The Neotia University, WB, India. I worked at the School of Allied Medical Sciences, IIMT University, Meerut, Uttar Pradesh from 2021 to Aug-2022. Since Oct 2016, I was an assistant professor at the Department of Medical Laboratory Technology, Amity Medical School, Amity University Haryana. Before joining Amity, I was an Assistant professor of medical laboratory technology at the School of Life & Allied Health Sciences, the Glocal University, Saharanpur from 2015-2016. He has published 55 peer-reviewed research articles in renowned national and international journals, alongside 10 books and 8 book chapters, with notable publications in journals such as The Lancet, NPJ Clean Water (Nature), Biomarker Research, Molecular and Cellular Biology, Life, Biomedicines, Diagnostics, Obesity Surgery, etc. Dr. Sah has also shared his research at numerous national and international conferences, workshops, and symposia. With over 15 years of experience in both academia and industry at the national and international levels, Dr. Sah continues to be an active contributor to the field. Outside of his professional work, he enjoys reading, traveling, meeting new people, and exploring different communities and cultures. He is deeply committed to global public health and advocates for the principles of global citizenship.
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Paperback. Etat : new. Paperback. The rapid advancements made in artificial intelligence (AI) are transforming the landscape of metabolic medicine, offering unprecedented opportunities for early diagnosis, personalized treatment, and precision healthcare. Metabolic disorders, including diabetes, obesity, metabolic syndrome, and lipid disorders, pose significant global health challenges, demanding innovative solutions that go beyond traditional medical approaches. AI-driven technologies such as machine learning, deep, learning, predictive analytics, and big data processing are revolutionizing the way clinicians and researchers understand, diagnose, and manage metabolic diseases. Revolutionizing Metabolic Medicine With Artificial Intelligence explores the intersection of AI and metabolic medicine, providing insights into the latest AI-driven methodologies for disease prediction, risk assessment, therapeutic optimization, and patient management. From AI-powered diagnostic tools to digital therapeutics, this book delves into how computational intelligence is reshaping clinical decision-making and improving patient outcomes. Covering topics such as diabetes management, predictive analytics, and wearable technology, this book is an excellent resource for endocrinologists, diabetologists, metabolic disease specialists, AI and biomedical researchers, clinicians, academicians, policymakers, and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798337331973
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Paperback. Etat : new. Paperback. The rapid advancements made in artificial intelligence (AI) are transforming the landscape of metabolic medicine, offering unprecedented opportunities for early diagnosis, personalized treatment, and precision healthcare. Metabolic disorders, including diabetes, obesity, metabolic syndrome, and lipid disorders, pose significant global health challenges, demanding innovative solutions that go beyond traditional medical approaches. AI-driven technologies such as machine learning, deep, learning, predictive analytics, and big data processing are revolutionizing the way clinicians and researchers understand, diagnose, and manage metabolic diseases. Revolutionizing Metabolic Medicine With Artificial Intelligence explores the intersection of AI and metabolic medicine, providing insights into the latest AI-driven methodologies for disease prediction, risk assessment, therapeutic optimization, and patient management. From AI-powered diagnostic tools to digital therapeutics, this book delves into how computational intelligence is reshaping clinical decision-making and improving patient outcomes. Covering topics such as diabetes management, predictive analytics, and wearable technology, this book is an excellent resource for endocrinologists, diabetologists, metabolic disease specialists, AI and biomedical researchers, clinicians, academicians, policymakers, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798337331973
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Paperback. Etat : new. Paperback. The rapid advancements made in artificial intelligence (AI) are transforming the landscape of metabolic medicine, offering unprecedented opportunities for early diagnosis, personalized treatment, and precision healthcare. Metabolic disorders, including diabetes, obesity, metabolic syndrome, and lipid disorders, pose significant global health challenges, demanding innovative solutions that go beyond traditional medical approaches. AI-driven technologies such as machine learning, deep, learning, predictive analytics, and big data processing are revolutionizing the way clinicians and researchers understand, diagnose, and manage metabolic diseases. Revolutionizing Metabolic Medicine With Artificial Intelligence explores the intersection of AI and metabolic medicine, providing insights into the latest AI-driven methodologies for disease prediction, risk assessment, therapeutic optimization, and patient management. From AI-powered diagnostic tools to digital therapeutics, this book delves into how computational intelligence is reshaping clinical decision-making and improving patient outcomes. Covering topics such as diabetes management, predictive analytics, and wearable technology, this book is an excellent resource for endocrinologists, diabetologists, metabolic disease specialists, AI and biomedical researchers, clinicians, academicians, policymakers, and more. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9798337331973
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Taschenbuch. Etat : Neu. Revolutionizing Metabolic Medicine With Artificial Intelligence | Pranav Kumar Prabhakar (u. a.) | Taschenbuch | Englisch | 2025 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337331973 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 134450845
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