About

The Technion-Rambam Initiative in Medical AI, TERA was launched in March 2022 as a strategic joint initiative between the Technion Institute of Technology and Rambam Health Care Campus. TERA facilitates collaboration between clinicians, scientists, and engineers by translating real-world clinical challenges into applied artificial intelligence research. 
Connecting researchers from both institutions, TERA serves as a facilitator, providing access to large-scale medical data, clinical expertise, dedicated infrastructure, and professional support. It enables the development, evaluation, and clinical implementation of AI-driven solutions aimed at improving patient care, clinical decision-making, and healthcare workflows.
TERA operates through a dedicated ecosystem and physical space embedded within Rambam Health Care Campus. 
This space serves as a collaborative hub for researchers, clinicians, scientists, and graduate MD, MSc, and PhD students at Technion, supported by Rambam's in-house IT, clinical trial methodology, epidemiology, and medical statistics expertise.

From left to right: Prof. Rafael (Rafi) Beyar – President of Rambam Friends Organization, Professor Emeritus Medicine and Biomedical Engineering, Technion, Prof. Lior Gepstein – Director of the Division of Research and the Department of Cardiology at Rambam Health Care Campus, Prof. Uri Sivan – President of the Technion Israel Institute of Technology, Assoc. Prof. Joachim A. Behar (Oxon) – Academic Director, Technion-Rambam Initiative in Medical AI (TERA), Faculty of Biomedical Engineering & Data and Decision Sciences, Artificial Intelligence in Medicine Laboratory (AIMLab.), Technion, (photo: Rambam Marketing Department)
From left to right: Prof. Rafael (Rafi) Beyar – President of Rambam Friends Organization, Professor Emeritus Medicine and Biomedical Engineering, Technion, Prof. Lior Gepstein – Director of the Division of Research and the Department of Cardiology at Rambam Health Care Campus, Prof. Uri Sivan – President of the Technion Israel Institute of Technology, Assoc. Prof. Joachim A. Behar (Oxon) – Academic Director, Technion-Rambam Initiative in Medical AI (TERA), Faculty of Biomedical Engineering & Data and Decision Sciences, Artificial Intelligence in Medicine Laboratory (AIMLab.), Technion, (photo: Rambam Marketing Department)

TERA provides a privacy-secured ethical framework for working with medical data, enabling on-site analysis or access through secured cloud infrastructure. TERA facilitates an end-to-end pipeline for collecting, preparing, validating, and securely researching large-scale clinical data, and supports the regulatory and technical processes required to deploy and evaluate pilot AI systems within Rambam clinical units.

The image captured at the TERA launching event, during the Technion-Rambam Machine Learning in Healthcare Datathon, later described in BMJ Health and Care Informatics, reflects the mission in action, bringing together clinicians, data scientists, and engineers to create validated AI-driven healthcare solutions.

TERA Launching Event
From left to right: Prof. Lior Gepstein – Director of the Division of Research and the Department of Cardiology at Rambam Health Care Campus, Dr. Orna Berry, Director of Technology at the Google CTO’s office Prof. Rafael (Rafi) Beyar – President of Rambam Friends Organization, Professor Emeritus Medicine and Biomedical Engineering, Technion, Associate Professor Joachim A. Behar (Oxon) – Academic Director, Technion-Rambam Initiative in Medical AI (TERA), Faculty of Biomedical Engineering & Data and Decision Sciences, Artificial Intelligence in Medicine Laboratory (AIMLab.), Technion, Associate Professor Leo Anthony Celi – Harvard Medical School, Dr. Ronit Almog – Director, Epidemiology Unit at Rambam, Professor Ran Balicer – Chief Innovation Officer and Deputy-DG at Clalit Health Services, Head, WHO Collab Center. Yoel Ben-Or – Director of Digital Health, Ministry of Health Dr. Ruth Bergman, Chief Technology Officer at General Electric Healthcare Associate Professor Danny Eytan – Director of Pediatric Critical Care Unit at Rambam Medical Center. (photo: Rambam Marketing Department)

Sobel, J., Almog, R., Celi, L., Yablowitz, M., Eytan, D., & Behar, J. (2023). How to organise a datathon for bridging between data science and healthcare? Insights from the Technion-Rambam machine learning in healthcare datathon event. BMJ health & care informatics, 30(1), e100736. https://doi.org/10.1136/bmjhci-2023-100736

TERA Annual Report

TERA Annual Report

2024