Download the fantastic book titled Artificial Intelligence for Drug Product Lifecycle Applications written by Alberto Pais, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Artificial Intelligence for Drug Product Lifecycle Applications", which was released on 01 October 2024. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Medical genre.
Summary of Artificial Intelligence for Drug Product Lifecycle Applications by Alberto Pais PDF
Artificial Intelligence for Drug Product Lifecycle Applications explains the use of artificial intelligence (AI) in drug discovery and development paths, including the clinical and post-approval phase. The book gives methods for each of the drug development steps, from the Fundamentals up to Post-approval drug product. AI is a synergistic assembly of enhanced optimization strategies with particular application in pharmaceutical development and advanced tools for promoting cost-effectiveness throughout drug lifecycle. Specifically, AI brings together the potential to improve drug approval rates, reduce development costs, get medications to patients faster and help patients comply with their treatments. Accelerated pharmaceutical development and drug product approval rates will enable larger profits from patent-protected market exclusivity. This book offers the tools and knowledge to create the right AI strategy to extend the landscape of AI applications across the drug lifecycle. It will be especially useful for pharmaceutical scientists, health care professionals and regulatory scientists, as well as advanced students and postgraduates actively involved in pharmaceutical product and process development involving the use of Artificial Intelligence in drug delivery applications. Classifies AI methodologies and application examples into different categories, representing the various steps of the drug development cycle Covers timely literature review combined with clear artwork to improve understanding Examines deep learning, machine learning in drug discovery
Detail About Artificial Intelligence for Drug Product Lifecycle Applications PDF
- Author : Alberto Pais
- Publisher : Elsevier
- Genre : Medical
- Total Pages : 0 pages
- ISBN : 0323972519
- Release Date : 01 October 2024
- PDF File Size : 18,9 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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