(الذكاء الاصطناعي في تطوير الأدوية (دون ساعات معتمدة
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
1-Pharmaceutical Sciences
2-Drug Discovery and Development 3-Pharmaceutics and Industrial Pharmacy 4-Computational Biology and Bioinformatics 5-Medicinal Chemistry 6-Biotechnology and Biopharmaceuticals 7-Data Science and Artificial Intelligence in Healthcare 8-Regulatory Science and Pharmaceutical R&D 9-Clinical Research and Translational Medicine
2-Drug Discovery and Development
Target Audience
Pharmaceutical scientists
Researchers
Faculty members
Graduate students
Industry professionals involved in drug discovery
Pharmaceutics
Computational sciences
AI-driven pharmaceutical R&D
Biotechnology
Speaker
Prof Dr. Rania Mohammed Hathout - Professor and Head of Department of Pharmaceutics and Industrial Pharmacy, Faculty of Pharmacy, Ain Shams University
Only for participants who don't want the CME hours