$$Events$$

Oct. 13, 2020
14:00
-15:00

https;//zoom.us/j/93626187421

​​​Speaker: Guy Shtar, Ben-Gurion University of the Negev

Title: Multimodal Machine Learning for Drug Knowledge Discovery.

Guy Shtar


Abstract: Multimodal machine learning deals with building models that can process information from multiple modalities. A modality refers to a way of doing or experiencing something. Examples of modalities processed in machine learning models include video, audio, textual data, and spatial data. Multimodal machine learning is gaining research interest due to its relevance to many fields. 

Drug research and development as well as guaranteeing drug safety are complex and expensive tasks, which usually require experiments involving humans. On the other hand, several drug-related data sources are available in various modalities. One example is DrugBank which contains different types of structured data: interaction graph, tabular data, molecular structures, and more. Three works which involve multimodal machine learning in the drug and medical domain will be presented:

1.      AMFP, a novel drug-drug interaction prediction algorithm based on adjacency matrix factorization and factor propagation over the network.

​2.      A machine learning model for predicting rehabilitation outcomes in post-acute hip fracture patients. The model was validated using a retrospective analysis using real-world data, In collaboration with Dr. Avital Hershkovitz from Beit Rivka.

3.      A novel interpretable, multimodal machine learning model for classifying pregnancy drug safety. Currently, 60% of approved drugs are not classified as "Safe" nor "Dangerous" during pregnancy, our model classifies drug's safety and is capable of explaining it's decisions. The model was developed in collaboration with Prof. Matitiahu Berkovitch, head of the clinical pharmacology unit in Shamir medical center (Asaf Harofee).

 

About the speaker: Guy Shtar is a Ph.D. student in the Software and Information Systems Engineering department at Ben Gurion University, focusing multimodal machine learning in the medical domain. Guy has over 15 years of experience in cybersecurity, machine learning, and GIS R&D positions in both governmental and private organizations. Guy received his B.Sc. and M.Sc. degrees in Software and Information Systems Engineering from Ben Gurion University.