Collaborative research between the Edmond J. Safra Center for Bioinformatics and TAU-affiliated hospital-based MDs
The Edmond J. Safra Center for Bioinformatics aims to promote excellence in clinical bioinformatics research by bringing together bioinformatics scientists and clinicians. This year, the Center, partnering with the Sackler School of Medicine, published a call for grants and provided for the first time seed research grants for the amount of 20,000 USD each. These grants aim to support fundamental and translational collaborative research that combines novel computational techniques and clinical applications.
We received 10 joint proposals from Edmond J. Safra PIs and TAU-affiliated hospital-based MDs. The proposals were evaluated by independent reviewers, and funding decisions were made by the grant committee of Profs. Elhanan Borenstein (TAU), Karen Avraham (TAU), and Michael Lishner (TAU & Meir Medical Center).
We are excited to announce the winners:
Uri Ben-David (School of Medicine, TAU) and Benjamin Dekel (Sheba Medical Center & School of Medicine, TAU)
Research title: "Following the genomic evolution of pediatric cancer patient-derived xenografts".
Asaf Madi (School of Medicine, TAU) and Ronen Brenner (Wolfson Medical Center & School of Medicine, TAU)
Research title: "Characterization of CD8-DC cell-cell interaction in melanoma using spatial transcriptomics".
Noam Shomron (School of Medicine, TAU) and Yariv Yogev (Tel-Aviv Sourasky Medical Center and & School of Medicine, TAU)
Research title: "Using machine learning on EMR, fetal heart rate monitoring and clinical measurements in order to predict pregnancy outcome”.
Tamir Tuller (Faculty of Engineering, TAU) and Oren Pleniceanu (Sheba Medical Center & School of Medicine, TAU)
Research title: "Elucidation and targeting of ‘silent’ mutations based on computational models as a novel personalized therapeutic strategy in renal cell carcinoma"
Congratulations to the winners!
Lectures & Seminars
*CANCELLED* - Distinguished Speaker Series: Charting γ secretase substrates by explainable AI
Distinguished Speaker Series: Estimation of mRNA transcription and decay rates using single-cell RNA sequencing
April 23-24 2023: Minerva-Gentner Symposium 2023: Single Cell Analysis: from Development to Disease