Harry Yang, Liang Zhao

eBook, ePUB

Clinical Trial Modernization (eBook, ePUB)

Technological, Operational, and Regulatory Advances

Beschreibung

As the pharmaceutical industry navigates this new era of technological innovation, the integration of AI, big data, and advanced analytics into clinical trials holds immense potential to transform drug development. Clinical Trial Modernization: Technological, Operational, and Regulatory Advances provides a comprehensive overview of the current trends, challenges, and opportunities in modernizing clinical trials, offering a roadmap for stakeholders in this evolving field.

This book serves as a valuable resource for professionals, researchers, and regulators, providing actionable insights into the future of clinical trials and their critical role in bringing new therapies to market faster and more effectively.

Technische Details

• Geräte: eReader
• mit Kopierschutz
• Größe: 17.49MB

Barrierefreiheit

• Text-to-Speech
• E-Mail des Verlags für Barrierefreiheitsfragen: [e-mail]
• Alle Inhalte über Screenreader oder taktile Geräte zugänglich
• ARIA-Rollen für verbesserte strukturelle Navigation
• Navigation über vor-/zurück-Elemente ohne Inhaltsverzeichnis
• Inhalte verständlich ohne Farbwahrnehmung
• Seitennummerierung folgt dem gedruckten Werk
• Mathematische Inhalte in MathML für assistive Technologien
• Kurze Alternativtexte für nicht-textuelle Inhalte vorhanden
• Text und Medien in logischer Lesereihenfolge angeordnet
• Navigierbarer Index mit direktem Zugriff auf Indexbegriffe
• Navigierbares Inhaltsverzeichnis für direkten Zugriff auf Text und Medien
• Entspricht EPUB Accessibility Specification 1.1

Autor

Harry Yang, Ph.D., is Vice President of Biometrics at Recursion Pharmaceuticals. With over 25 years of experience in small molecule, biologics, and cellular immunotherapy development, his expertise spans the therapeutics areas of transplantation, vaccines, autoimmune and inflammatory disease, rare disease, and oncology. Dr. Yang is well-versed in innovative clinical trial design, regulatory submissions, and integration of real-world data, AI, and machine learning in drug R&D. He is a prolific author, having published 9 books and over 130 articles and book chapters covering critical statistical, scientific, and regulatory topics in drug R&D.

Liang Zhao, Ph.D., is Professor of Bioengineering and Therapeutic Sciences at University of California, San Francisco, following his role as the Director of Division of Quantitative Methods and Modeling (DQMM), Office of Research and Standards, Office of Generic Drugs, CDER/FDA. Dr. Zhao has introduced a broad array of innovative tools in drug deliveries, bioequivalence assessment, and pharmacometrics. He has published 100+ articles and book chapters and is the recipient of the 2023 Gary Neil Prive for Innovation in Drug Development from ASCPT.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Erscheinungstermin: 26. Mai 2025
• Englisch
• ISBN-13: 9781040344453
• Artikelnr.: 73707523