Rajnish Srivastava – författare
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2 produkter
2 produkter
Environmental Sustainability and Green Technology in Pharmaceutical Research
Current Issues and Future Directions
Inbunden, Engelska, 2026
2 312 kr
Kommande
This timely volume explores the relationship between environmental responsibility and pharmaceutical innovation, providing insights into how sustainable methods are already changing pharmaceutical research, as well as discussing their impact on medical science and healthcare in the future.Highlighting a range of cutting-edge topics such as green chemistry, waste reduction, energy efficiency and the development of eco-friendly pharmaceuticals, the book provides a comprehensive overview of how the pharmaceutical industry is being revolutionized by sustainable practices. Readers will also learn about biocatalysis, renewable feedstocks and environmentally benign solvents, spotlighting their roles in reducing the environmental footprint of drug production. Featuring case studies which offer practical insights and lessons learned, the book addresses the multidisciplinary nature of environmental sustainability by bridging the gaps between pharmaceutical science, environmental science, engineering and policymaking.This will be a valuable resource for researchers, students and professionals alike.
Revolutionizing Rare Disease Care
The Role of Artificial Intelligence and Machine Learning
Inbunden, Engelska, 2026
926 kr
Kommande
Rare diseases affect millions globally, yet patients often face delayed diagnoses, limited treatments, and insufficient support due to the conditions’ low prevalence and clinical complexity. This book, Revolutionizing Rare Disease Care: The Role of Artificial Intelligence and Machine Learning, addresses this unmet need by exploring how AI and ML technologies are transforming the diagnosis, treatment, and management of rare diseases. It offers a comprehensive, disease-specific analysis of AI-driven innovations in areas such as early detection, drug discovery, biomarker identification, and personalized therapeutic interventions. The book also examines ethical, regulatory, and implementation challenges, ensuring equitable and transparent integration of AI/ML in clinical practice. Covering rare diseases like amyloidosis, ALS, and choroideremia, the book presents real-world insights into how technology can revolutionize patient care. Timely and unique, this book is a vital resource for clinicians, researchers, data scientists, and healthcare policymakers seeking to harness AI/ML to improve outcomes and quality of life for patients with rare diseases.