• Artificial Intelligence in Medicine

Invited SpeakersProfile Details

Trisevgeni Rapakoulia
Trisevgeni Rapakoulia ​Trisevgeni Rapakoulia is a Ph.D. candidate at King Abdullah University of Science and Technology.

Biography

​Trisevgeni Rapakoulia is a Ph.D. candidate at King Abdullah University of Science and Technology supervised by Prof. Xin Gao. Broad areas of interest include bioinformatics and machine learning. Research field: study the effects of drugs and drug combinations in the transcriptome level. 

All sessions by Trisevgeni Rapakoulia

  • Day 3Wednesday, February 20th
Session 6 : Spotlight on Young Talent ( Chair - John Archer)
1:30 pm

Automatic identification of small molecules that promote cell conversion

Cell reprogramming has enormous potential for regenerative medicine and drug discovery. Small molecules have recently been reported to either induce or enhance reprogramming. Exhaustive screens of small molecules are expensive and time consuming given the structural and functional diversity of small molecules and the unlimited number of combinations. We developed a method for the identification of small compounds that either alone or in combinations facilitate the efficacy of cell conversion. Based on comparing primary cell type expression profiles to publicly available drug response expression profiles, the method is able to accurately predict single drugs or drug pairs that can drive any source cell type towards the desired lineage.

Building 9 - Lecture hall 2 13:30 - 13:45 Details