Precision Medicine: Improving Healthcare with Data Science and Machine Learning explores the shift toward personalised healthcare, where treatments are tailored to individual patient characteristics. Driven by advances in data science and machine learning, precision medicine enables more accurate diagnoses, better predictions, and targeted therapies.This book provides a comprehensive overview of how data-driven technologies are transforming modern healthcare. It covers key areas suc...

Precision Medicine: Improving Healthcare with Data Science and Machine Learning explores the shift toward personalised healthcare, where treatments are tailored to individual patient characteristics. Driven by advances in data science and machine learning, precision medicine enables more accurate diagnoses, better predictions, and targeted therapies.This book provides a comprehensive overview of how data-driven technologies are transforming modern healthcare. It covers key areas such as cl...

This open access volume focuses on the development of a P5 eHealth, or better, a methodological resource for developing the health technologies of the future, based on patients’ personal characteristics and needs as the fundamental guidelines for design. It provides practical guidelines and evidence based examples on how to design, implement, use and elevate new technologies for healthcare to support the management of incurable, chronic conditions. The volume further discusses the critical...

Principles and Practice of Clinical Research, Fourth Edition has been thoroughly revised to provide a comprehensive look at both the fundamental principles and expanding practice of clinical research. New to this edition of this highly regarded reference, authors have focused on examples that broadly reflect clinical research on a global scale while including a discussion of international regulations, studies, and implications. In addition to key topics such as bioethics, clinical outcome ...

Real-world evidence is defined as evidence generated from real-world data outside randomized controlled trials. As scientific discoveries and methodologies continue to advance, real-world data and their companion technologies offer powerful new tools for evidence generation. Real-World Evidence in a Patient-Centric Digital Era provides perspectives, examples, and insights on the innovative application of real-world evidence to meet patient needs and improve health...

This open access book, published under a CC BY 4.0 license in the Pubmed indexed book series Handbook of Experimental Pharmacology, provides up-to-date information on best practice to improve experimental design and quality of research in non-clinical pharmacology and biomedicine.

Artificial intelligence, Big data, Blockchain and 5G for Digital Transformation of Healthcare Industry provides insights on the successes and failures in the field of IT and digital health during the pandemic and analyzes the lessons from these cases. The social and economic recovery after the pandemic requires urgent solutions for citizens, companies and economies around the world. From research centers, labs, hospitals and academia, researchers and academics are working collaboratively t...

About the Book:· Comprehensive content covering all aspects of clinical research.· Evolving paradigms in clinical research, e.g. modelling and simulation, artificial intelligence, etc.· Milestones in the evolution of drug regulations in India· Drug regulatory framework in India and key ICH countries.· Evolution of drug pricing mechanisms and IPRs in India.· Updated text incorporating the New Drugs and Clinical Trials Rules 2019; Gu...

Clinical or translational science is the field of study devoted to investigating human health and disease, interventions and outcomes for the purposes of developing new treatment approaches, devices, and modalities to improve health. New molecular tools and diagnostic technologies based on clinical and translational research have lead to a better understanding of human disease and the application of new therapeutics for enhanced health.Clinical and Translational Science is...

With the present emerging artificial intelligence (AI) technologies, computational "machine learning" techniques for training and generalisation from data, and cutting-edge statistical techniques, will play a significant role in analysing multidimensional datasets generated by the new technologies of systems medicine. This progressively but rapidly leads to a "new taxonomy," generating new approaches for disease diagnosis, therapy, and clinical decisions, promising more individualised trea...

This book presents information about the use of technology to support the prevention and management of drug safety issues: pharmacovigilance (PV), medication errors, drug-related problems (DRPs), counterfeit medicines and other drug safety issues. Adapting new technologies/information technologies, mobile technologies and social media has contributed effectively to safety practices for medications, with this book providing comprehensive information as a guide to its challenges and potentia...

This book examines the sequence of events and methodology in the industrial clinical research process; a reference for multidisciplinary personnel. It is the conceptual framework involving the philosophical, economic, political, historical, regulatory, planning, and marketing aspects of the process.