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Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications
Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications introduces and explores a variety of schemes designed to empower, enhance, and represent multi-institutional and multi-disciplinary machine learning (ML) and deep learning (DL) research in healthcare paradigms. Serving as a unique compendium of existing and emerging ML/DL paradigms for the healthcare sector, this book demonstrates the depth, breadth, complexity, and diversity of this multi-disciplinary area. It provides a comprehensive overview of ML/DL algorithms and explores the related use cases in enterprises such as computer-aided medical diagnostics, drug discovery and development, medical imaging,...
Artificial Intelligence and Machine Learning in Drug Design and Development
The book is a comprehensive guide that explores the use of artificial intelligence and machine learning in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs. The intersection of Artificial Intelligence (AI) and Machine Learning (ML) within the field of drug design and development represents a pivotal moment in the history of healthcare and pharmaceuticals. The remarkable synergy between cutting-edge technology and the life sciences has ushered in a new era of possibilities, offering unprecedented opportunities, formidable challenges, and a tantalizing glimpse into the fut...
Advancements in the Treatment and Prevention of Breast Cancer
Advancements in the Treatment and Prevention of Breast Cancer highlights the significance of early detection, risk assessment, and comprehensive care in mitigating the burden of breast cancer within communities. It not only offers insights into the genetic basis of breast cancer susceptibility, familial risk assessment, and emerging genetic testing technologies but also empowers patients and their families with knowledge about available treatment options, clinical trials, and support resources.In 14 chapters this book provides an in-depth analysis of translational research focusing on understanding the etiology of breast cancer, elucidating potential avenues for primary prevention strategies...
Biosensors and Aptamers
The book explores the latest advancements in medical and life sciences, revealing the transformative potential of biosensors and aptamers in combating cancer. These cutting-edge technologies revolutionize diagnosis with unprecedented accuracy and early detection of cancer. The chapters cover advancements in targeted therapy, where aptamers deliver personalized treatments with remarkable precision, minimizing side effects and maximizing efficacy. It highlights real-world applications, success stories, and the pursuit of more effective and humane cancer diagnosis and treatment. The book is intended for clinicians and students.
Targeted Therapy for the Central Nervous System
Targeted Therapy for the Central Nervous System: Formulation, Clinical Challenges, and Regulatory Strategies presents research on various delivery methods of drugs to the central nervous system and brain. This volume examines targeted therapies for neurodegenerative disorders and succinctly outlines the future of drug delivery systems, highlighting significant advancements specifically relating to central nervous system delivery. This book will be of great interest to researchers working in the field of neuroscience and pharmacology as well as clinicians (pharmacists, radiologists, psychiatrists). - Provides a current, thorough means on how drugs are delivered to the neurological system - Figures a connection amongst the physiology of drug delivery pertaining to the central nervous system, fundamentals of drug delivery, and distribution principles - Gives an accounting of clinical trials and regulatory approaches for the formulations targeting brain
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