Artificial Intelligence for Drug Product Lifecycle Applications

1st Edition - October 1, 2024
Editors: Alberto Pais, Carla Vitorino, Sandra Nunes, Tânia Cova
Language: English
Paperback ISBN:
9 7 8 - 0 - 3 2 3 - 9 1 8 1 9 - 0
eBook ISBN:
9 7 8 - 0 - 3 2 3 - 9 7 2 5 1 - 2

Artificial Intelligence for Drug Product Lifecycle Applications explains the use of artificial intelligence (AI) in drug discovery and development paths, including the clinic… Read more

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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.

Alberto Pais

Alberto Pais is Full Professor at the University of Coimbra and Director of the Department of Chemistry. He is also Head of the macromolecules, Colloids and Photochemistry research group of the Coimbra Chemistry Centre, one of the largest groups of this research centre. Possesses expertise in Physical Chemistry, Polymer Science, Polyelectrolytes and DNA technology, Modeling, Simulation, and Data Science. The main contributions are included in ca. 200 scientific articles, 2 edited book, and 18 book chapters. He also supervised 11completed PhD Thesis and many MSc theses. Participated as Principal Investigator/co-Principal Investigator/PhD Researcher in 18 projects

Affiliations and expertise

Professor and Director, Department of Chemistry, Coimbra Chemistry Center, University of Coimbra, Coimbra, Portugal

Carla Vitorino

Professor Carla Vitorino graduated in Pharmaceutical Sciences from the University of Coimbra and obtained the PhD degree in Pharmaceutical Sciences, in the specialty of Pharmaceutics, by the same institution. Currently, she is Assistant Professor at the Faculty of Pharmacy of the University of Coimbra. She has been working on the application of nanotechnology in drug permeation enhancement strategies for transdermal, oral and drug delivery systems to brain targeting, which has resulted in the publication of several scientific papers in peer-reviewed high impact journals. It brings together vast experience in pharmaceutical technology, standing out in the areas of nanotechnology and regulatory science. Her main research interests are nanotechnology, controlled release, and the development of new drug delivery systems in a Quality by Design perspective.

Affiliations and expertise

Assistant Professor, Faculty of Pharmacy, University of Coimbra, Coimbra, Portugal

Sandra Nunes

Sandra Nunes is a Junior Researcher at Coimbra Chemistry Center, Department of Chemistry, University of Coimbra, since 2019, collaborating in the teaching component of UC. Her expertise includes the development of coarse-grained models of polyelectrolyte systems, ab initio methods and molecular dynamics simulation applied to nucleic acids behaviour, host-guest interactions, modelling of reaction-pathways and the study of the interactions between drugs/biomolecules and membranes.

She published 41 papers, has 2 book chapters, 1 peer-reviewed conference proceeding, 40 communications in scientific meetings, 2 covers and 1 provisional patent application. She is member of the editorial board of 2 journals, reviewer in several international scientific journals and has been member of the jury panels of dissertations at University of Coimbra and abroad.

Affiliations and expertise

Coimbra Chemistry Center, Department of Chemistry, University of Coimbra , Portugal

Tânia Cova

Tânia Cova is a Junior Researcher from the Coimbra Chemistry Center, Department of Chemistry, University of Coimbra. She has completed her PhD in Chemistry - Macromolecular Chemistry, from University of Coimbra in 2018. She owes over 10 years of research experience in the field of theoretical and computational chemistry, especially on in silico studies of supramolecular systems for drug delivery, DNA-aptamer/peptide-carbohydrate conjugates to improve drug recognition in biological matrices, and tumor targeting, and on topics machine learning and big data. TC is the author of 4 book chapters, 33 articles, 1 Patent application, 2 special issue editions, 21 oral communications, and 17 conference posters. TC was nominated MC Substitute of COST Action CA19145 PT. She participated as PhD Researcher in 2 projects.

Affiliations and expertise

Coimbra Chemistry Center, Department of Chemistry, University of Coimbra , Portugal