Abstract

Join us on 5th May for a special seminar. No registration is necessary and address details can be found below.

Speaker: Sun Kim, President of Mogam Institute of Biomedical Research and Professor, Seoul National University

Topic: Exploring chemical, genetic and disease space with AI technologies

Abstract: In this talk, I will discuss about how AI and deep learning technologies can be used for predicting drug response, toxicity, and repositioning. Before getting into details, I will briefly talk about essential concepts, such as embedding or representations, distance and distributions, that are frequently used for constructing AI models. Then, in part 2 of my talk, I will discuss our recent work on how drug repositioning can be inferred from knowledge graphs that consist of drug, gene, and disease. Part 3 of my talk will focus on the gene level modeling, specifically how AI technologies can be used for modeling drug response, toxicity, and disease subtypes using transcriptome and multi-omics data. If time permits, I will discuss our works on analyzing time-series transcriptome data.

Location: Lecture Theatre, Jeffrey Cheah Biomedical Centre, Puddicombe Way, Cambridge CB2 0AW