Alberto Pais is Full Professor at the University of Coimbra and Head of the Soft Matter research group of the Coimbra Chemistry Centre. Possesses considerable experience in a variety of relevant topics in the area of Computational Chemistry, Physical-Chemistry and Pharmaceutics. For each of these areas, presents high-impact publications in high-level journals, combined with various experiences in the pedagogical field. In his scientific career, he developed work ranging from potential energy surfaces and molecular dynamics of tri- and tetraatomic systems in the gas phase to research in chemical kinetics (intersecting state model - atom transfer reactions), molecular simulation (polyelectrolytes and colloidal systems) and chemometrics (modeling, cluster analysis, factor analysis and experimental design), having also dedicated to physicochemical aspects in pharmaceutical formulation and processes (controlled release, skin and transdermal devices, including lipid nanoparticles, and development of products for oral, pulmonary administration, etc.). Other contributions cut across various scientific areas. In this context, reference should be made to the data in Scientometrics/Bibliometrics and Evaluation. It also presents smaller contributions in other areas, such as bioinformatics, cryopreservation and others. In terms of teaching he has been involved in different disciplines. Mention, only in the computational part, the subjects taught in Numerical Methods and Programming, Chemoinformatics, Molecular Modeling, Chemometrics, Process Optimization and Scale Transposition, Chemical Equilibrium and Energetics, Pattern Recognition, and part of Fundamentals of Medicinal Chemistry among several others. He also taught, for several years, Analytical Chemistry for the Integrated Master's Degree in Pharmaceutical Sciences and Data Analysis in Analytical Chemistry for the Master's Degree in Chemistry (Quality Control Branch).
Télécharger le livre :  Artificial Intelligence for Drug Product Lifecycle Applications

Artificial Intelligence for Drug Product Lifecycle Applications explains the use of artificial intelligence (AI) in drug discovery and development paths, including the clinical and postapproval phases. This book gives methods for each of the drug development steps, from...
Editeur : Academic Press
Parution : 2024-09-06

Format(s) : epub sans DRM
184,63

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