Artificial intelligence (AI) and machine learning
• Feb 15th at 13:00 | Speakers: Dr De-Fang Ouyang from the University of Macau, Dr Moe Elbadawi, University College London | Chair: Bahijja Raimi-Abraham
Defang Ouyang, University of Macau, Macau, China.
In recent decades pharmaceutics and drug delivery have become increasingly critical in the pharmaceutical industry due to longer time, higher cost, and less productivity of new molecular entities (NMEs). However, current formulation development still relies on traditional trial-and-error experiments, which are time-consuming, costly, and unpredictable.
With the exponential growth of computing capability and algorithms, in recent ten years, a new discipline named “computational pharmaceutics” integrates with big data, artificial intelligence, and multi-scale modeling techniques into pharmaceutics, which offered great potential to shift the paradigm of drug delivery. Computational pharmaceutics can provide multi-scale lenses to pharmaceutical scientists, revealing physical, chemical, mathematical, and data-driven details ranging across pre-formulation studies, formulation screening, in vivo prediction in the human body, and precision medicine in the clinic. Several formulation cases in the area will be discussed, such as solid dispersion, microsphere and mRNA lipid nanoparticle.