Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Leveraging AI for Sustainable Drug Commercialization and Advanced Therapy Management in TVET Innovations in Cell and Gene Therapy and Patient Support
0
Zitationen
3
Autoren
2025
Jahr
Abstract
The integration of Artificial Intelligence (AI) in Technical and Vocational Education and Training (TVET) is transforming the landscape of drug commercialization, advanced therapy management, and patient support services. This chapter explores how AI-driven solutions are enhancing the development, production, and distribution of cell and gene therapies, ensuring sustainability and efficiency in the healthcare sector. It delves into the role of AI in optimizing clinical trials, regulatory compliance, and supply chain logistics, addressing challenges in cost, accessibility, and scalability. Additionally, the chapter examines how AI-powered patient support services, such as predictive analytics, personalized treatment monitoring, and virtual healthcare assistance, are improving patient adherence and outcomes. By integrating AI within TVET curricula, future professionals can gain the necessary skills to navigate the evolving pharmaceutical and biotechnology industries, fostering a sustainable and innovative healthcare ecosystem.
Ähnliche Arbeiten
Quasi-Experimentation: Design & Analysis Issues for Field Settings
1979 · 11.375 Zit.
Science in Action: How to Follow Scientists and Engineers through Society
1988 · 10.857 Zit.
Does Active Learning Work? A Review of the Research
2004 · 6.797 Zit.
Science in Action
1987 · 4.125 Zit.
In Search of Excellence
1984 · 4.060 Zit.