Artificial Intelligence for Drug Product Lifecycle Applications

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 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. 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. 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.

1. Artificial Intelligence: the foundation principles 2. Artificial Intelligence: A regulatory perspective 3. Automating Drug Discovery 4. Pharmacometrics and machine learning in drug development 5. Multi-omics/genomics in predictive and personalized medicine 6. AI and machine learning in pharmaceutical formulation and manufacturing 7.Process analytics for the manufacturing of nanomedicines: challenges and opportunities 8. The role of artificial intelligence and machine learning in clinical trials 9. AI in Healthcare