Peter Phiri – författare

Clinical Trials and Tribulations evaluates the multiple layers of complexities around research management, also exploring current practices, challenges and future directions. The book provides answers to readers questions and problems through extensive use of real-world examples, case studies and lessons learned. Following an approach to provide pragmatic viewpoints as well as concepts and methodologies and its alignment with specific practices, the book explores paradigms between planning and conducting research in academia vs. healthcare vs. industry in the UK vs. Europe vs. America. It highlights practical solutions to real-world complex issues that have been documented by independent regulators.

This will be an indispensable book for all staff working in clinical research within healthcare, academia and industry, as well as students intending to work in clinical trials.

Covers key topics across pre-clinical, clinical research and clinical practice Highlights areas such as the socioeconomics of conducting research, capacity and capability, research quality and performance (including performance indicators, adaptive design and practical solutions) Provides lessons learned from breach of protocols, ethical breaches, SAE/SUSARs, aseptic pharmacy preparation issues, and instability within research structures Includes a focus on the UK clinical research system, offering key insights into working within the UK and collaborating with UK partners

Data science is transforming every aspect of modern life, from healthcare and urban planning to finance and governance. This comprehensive book provides an accessible yet rigorous exploration of the principles, methodologies, and applications of data science. It introduces readers to the evolution of data science, the role of artificial intelligence, and the philosophical foundations underpinning data‑driven discovery. By bridging theory and practice, this book provides a unique perspective on how data can be harnessed to solve complex, real‑world problems.Unlike other texts, this book integrates technical foundations with ethical, regulatory, and societal considerations. It covers the entire data science lifecycle, from acquisition and processing to advanced analytics, application development, and decision support. Real‑world case studies—including a detailed example of using electronic health records in Rwanda—illustrate how data science can drive impact in low‑ and high‑resource settings alike.Key Features:Comprehensive coverage of data science fundamentals, machine learning, and advanced analyticsIn‑depth exploration of ethical, governance, and regulatory challengesPractical insights into developing applications and decision support systemsGlobal case studies demonstrating applied data science in healthcare and public policyClear explanations suitable for multidisciplinary audiencesThis book is ideal for students, researchers, and professionals in data science, healthcare, public policy, and technology development. It equips readers with both the technical and ethical tools needed to navigate today’s data‑rich world and to leverage data for innovation, problem‑solving, and societal good.

Data science is transforming every aspect of modern life, from healthcare and urban planning to finance and governance. This comprehensive book provides an accessible yet rigorous exploration of the principles, methodologies, and applications of data science. It introduces readers to the evolution of data science, the role of artificial intelligence, and the philosophical foundations underpinning data‑driven discovery. By bridging theory and practice, this book provides a unique perspective on how data can be harnessed to solve complex, real‑world problems.Unlike other texts, this book integrates technical foundations with ethical, regulatory, and societal considerations. It covers the entire data science lifecycle, from acquisition and processing to advanced analytics, application development, and decision support. Real‑world case studies—including a detailed example of using electronic health records in Rwanda—illustrate how data science can drive impact in low‑ and high‑resource settings alike.Key Features:Comprehensive coverage of data science fundamentals, machine learning, and advanced analyticsIn‑depth exploration of ethical, governance, and regulatory challengesPractical insights into developing applications and decision support systemsGlobal case studies demonstrating applied data science in healthcare and public policyClear explanations suitable for multidisciplinary audiencesThis book is ideal for students, researchers, and professionals in data science, healthcare, public policy, and technology development. It equips readers with both the technical and ethical tools needed to navigate today’s data‑rich world and to leverage data for innovation, problem‑solving, and societal good.

A comprehensive guide designed to enable CBT practitioners to effectively engage people from diverse cultural backgrounds by applying culturally-sensitive therapeutic techniquesAdapts core CBT techniques including reattribution, normalization, explanation development, formulating, reality testing, inference chaining and resetting expectationsHigh profile author team includes specialists in culturally-sensitive CBT along with world-renowned pioneers in the application of CBT to serious mental illnessContains the most up-to-date research on CBT in ethnic minority groups available