Research Fellow, Ph.D. Student, University of Central Florida
Biography
Arash Keshavarzi and Milad Salem's research are mostly focused on the application of Artificial Intelligence for early drug discovery. they already developed DeepMalaria, a deep learning-based approach for malaria drug discovery and repurposing, which is the first attempt for the non-target parasite drug discovery with AI. Also, their researches for the application of Transfer Learning/unsupervised studies for discovery of Anti Microbial peptides let to the development of a state of the art model (DeepAMP). The current research is mostly focused on applications of GAN for de novo design of compounds.
AI and Data Sciences Showcase:
University of Central Florida
Dr. Yuan's lab is mostly focused on applications of AI for early drug discovery. The lab is located at the University of Central Florida.
Applications Of Artificial Intelligence For Non-Target Drug Discovery
The talk will be about potentials of AI in non-target drug discovery. Our presentation will suggest some approaches for ligand-based virtual screening such as Deepmalaria. DeepMalaria showed the potential of applying transfer learning, data augmentation, and grid search in improving accuracy.
Session Abstract – PMWC 2020 Silicon Valley
Track 7 - January 22 9.00 A.M.-3.45 P.M.,Track 6 - January 23 11.15 A.M.-11.30 A.M.,Track 2 - January 24 11.15 A.M.-4.00 P.M.
The PMWC 2020 AI Company Showcase will provide a 15-minute time slot for selected AI companies to present their latest technologies to an audience of leading investors, potential clients, and partners. We will hear from companies building technologies that expedite the pre-clinical and clinical drug discovery and development process, accelerate patient diagnosis and treatment, or develop scalable systems framework to make AI and deep/machine learning a reality.
