AI in Drug Development (with CME hours awarded) Online Webinar
Registrations are closed
Learning Objectives
- Use databases and AI platforms such to collect physico‐ chemical, biopharmaceutical and pharmacokinetic information necessary drug molecules information needed for pre‐ formulation and formulation studies.
- Use AI platforms to detect drug‐excipients incompatibilities and their physical and chemical sources.
- Use AI platforms to decide the suitable route for drug absorption and the need for advanced drug delivery system for its delivery.
- Use Formulation AI platform to select the best solvents and the best carriers or techniques to solubilize a certain drug and to formulate drugs/molecules in advanced drug delivery systems.
- Detect the best conditions and material composition to prepare a specific nanoparticulate system such as chitosan nanoparticles with a desired critical quality attribute such as using Nanocarriers AI platform.
- Connect between several AI platforms to plan and conduct any new formulation experiments.
Primary fields who would benefit from the course
Pharmaceutical Sciences
Drug Discovery and Development Pharmaceutics and Industrial Pharmacy Computational Biology and Bioinformatics Medicinal Chemistry Biotechnology and Biopharmaceuticals Data Science and Artificial Intelligence in Healthcare Regulatory Science and Pharmaceutical R&D Clinical Research and Translational Medicine
Target Audience
Pharmaceutical scientists
Researchers
Faculty members
Graduate students
Industry professionals involved in drug discovery
Pharmaceutics
Biotechnology
AI-driven pharmaceutical R&D
Computational sciences
Speaker
Prof Dr. Rania Mohammed Hathout - Professor and Head of Department of Pharmaceutics and Industrial Pharmacy, Faculty of Pharmacy, Ain Shams University
SCFHS accreditation #: ACA-20260000025
CPD/CME hours: 6 credit hours