Drug Discovery & Personalized Medicine

Ligand Functionalized Nanowires for the Activation of Lymphocytes

Prof. Mark Schvartzman, Prof. Angel Porgador

An innovative method for improved ex-vivo stimulation of T cells based on ligand-functionalized nanowires for adoptive immunotherapy.

High-content phenotypic screening of intracellular organelles organization using generative neural networks as tool for drug screening

Dr. Assaf Zaritsky

High content phenotypic screening as additional tool for drug discovery. The methodology measure alterations in the spatial dependencies between different organelles. This enables discovery and mechanistic interpretability of the effects each treatment has on specific aspects of cell organization in terms of “breaking” existing relations between multiple cell structures, which are currently inaccessible.

Machine learning models for predicting drug properties

Prof. Bracha Shpira, Prof. Lior Rokach, Prof. Shimon Ben-Shabat

Tools based on supervised multimodal machine learning (ML) to facilitate drug discovery and development. Drug properties prediction tools including drug-drug interaction, drug safety, drug recall and drug synergy. As well as model to predict activity of drugs, and to generate and optimize NCE.

FBVS, a novel design to identify small molecules to various targets

Dr. Barak Akabayov

New method named ‘Fragment based virtual screening’ (FBVS) to discover small molecules that binds desire target macromolecules, using the combination of NMR-fragment based screening and machine learning-based computational optimization to enhance binding and inhibition of the target.

In vitro platforms iPSCs-based for drug screening and drug discovery

Dr. Gad D. Vatine

Organs-on-chip device of the human BBB designed to test the CNS-penetrability in a brain-region specific manner. The system is based on iPSC-derived BMECs (iBMECs) neurovascular unit (NVU). The tool can assist in drug discovery and development.