Seed Fund
Seed Funds are proven strategy to engage research. Provided by TERA, competitive internal calls intend to initiate new research projects, bridging principal investigators at Technion and Rambam. The seed fund enables the researchers to obtain sufficient results to publish or apply to bigger competitive grants.
Open Calls
Will be published soon
Closed Calls
TERA provided seed funding to initiate new research projects connecting principal investigators from Technion and Rambam. The awarded teams received support to build a strong research foundation, with the goal of advancing toward larger, competitive external grant applications. Winners of these calls are:
A Research Speed Dating Event facilitated nine new collaborations; each awarded a NIS 20,000 seed grant
Winning Teams
Rambam PI Technion PI Project Title Dr. Eran Gabay, MD Dr. Oren Mishali, PhD Periodontal Disease Re-Classification – Harmonising the patient database with an AI-assisted workflow Dr. Galina Shapiro, MD, PhD Assoc. Prof. Kfir Levi Hybrid Mechanobiological AI Model for Surgical Decision Support in Gray-Zone Pediatric Angular Knee Deformity Dr. Miri Blich, MD Asst. Prof. Or Litany Using Artificial Intelligence to Identify Arrhythmogenic Fibrosis as a Novel Risk Factor for Sudden Cardiac Death in Inherited Cardiomyopathies Dr. Nadav Wilner, MD Asst. Prof. Avinoam Bar-Zion AI-driven Early Identification of Latent Cardiac Decompensation Markers Necessitating Intervention Dr. Yaniv Mayer, MD Dr. Yosef Solewicz, PhD AI-Powered Automated Detection and Grading of Gingivitis from Intraoral Photographs – Advancing a Deep Learning Pipeline Toward Clinical Deployment Dr. Erez Hasnis, MD, PhD Asst. Prof. Eddy Solomon MRI-Based Prediction and Risk Stratification of Liver Metastases Following Pancreatic Cancer Resection Dr. Erez Hasnis, MD, PhD Prof. Arie Admon Identification of Biomarkers for Early Diagnosis of Pancreatic Cancer Dr. Lior Lev Tov, MD Asst. Prof. Arielle Fisher Multimodal AI for Neurological Gait Assessment Dr. Pavel Kotlarsky, MD Asst. Prof. Arielle Fisher MRI-Based Knee Bone Age Assessment for Pediatric Orthopedic Decision-Making -
AI-models Deployment in Future Hospital, research grant 2026
Winning team
AI-Powered Management of Outpatient Clinic Operations for Improved Workflows and Human Experience
PI-Technion, Asst. Prof. Davide Schaumann, Faculty of Architecture and Town Planning, Assoc. Prof. Galit Yom Tov, Faculty of Data and Decision Sciences
PI-Rambam, Roee Avraham, Director of Ambulatory Service, Nissim Haim, Deputy Director, RambamGrant amount 100,000 NIS
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TERA collaboration with French Health Data Hub, binational research grant 2025 (opens in new tab)
Winning Team
K-SPARK
PI-Israel, Assist. Prof. Efrat Shimron, Faculties of Electrical and Computer Engineering and Biomedical Engineering, Technion
PI-France, Prof. Philippe Ciuciu, PhD, Director of the Inria-CEA MIND team at NeuroSpin and Inria SaclayDr. Ayellet Eran - Director of MRI, RambamGrant Amount: Technion awardees – $70,000 (after overhead), and French awardees – €100,000 -
Scholarship Awards for PhD students in Medical AI 2025 (opens in new tab)
Winners:
- In Vivo and In Vitro Energetics-dependent Biomarkers of Postoperative Atrial Fibrillation Risk in Patients Before, During and After SurgeryPI-Technion, Prof. Yael Yaniv, Faculty of Biomedical Engineering
co PI-Rambam, Dr. Tom Friedman, MD, Department of Cardiac Surgery - AI Driven Functional Super-Resolution Ultrasound Imaging Guiding Focused Ultrasound Treatment
PI-Technion, Assist. Prof. Avinoam Bar-Zion, Faculty of Biomedical Engineering
co PI-Rambam, Dr. Lior Lev Tov, MD, Department of Neurosurgery
- In Vivo and In Vitro Energetics-dependent Biomarkers of Postoperative Atrial Fibrillation Risk in Patients Before, During and After SurgeryPI-Technion, Prof. Yael Yaniv, Faculty of Biomedical Engineering
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TERA Grant 2023 Machine Learning in Medical AI
Grant amount: 120K per project, delivered in two portions, contingent on an additional competitive grant
Research projects awarded a grant:
- NLP Generated High Complexity Combination Therapy for Pancreatic Cancer
PI-Technion, Assist Prof. Yosi Shamay, PhD, Faculty of Biomedical EngineeringPI-Rambam, Prof. Irit Ben Aharon, MD, PhD, Oncology Center - AI-based alert and decision-support system for malnutrition risk and nutritional intake monitpring isung nursing documentation of eating
PI-Technion, Assoc. Prof. Dvir Aran, PhD, Faculty of BiologyPI-Rambam, Dr. Irena Papier, RN, DMS - A Wearable Kinematics and Machine Learning Approach for Rebalancing Knee Loads
PI-Technion, Assist. Prof. Arielle Fischer, PhD, Faculty of Biomedical EngineeringPI-Rambam, Dr. Bezalel Peskin, MD, Orthopedic Division, Knee & Arthroscopy Unit - Advancing Research and Practice in Suicide Prevention Through Artificial Intelligence
PI-Technion, Prof. Roi Reichart, PhD, Faculty of Data and Decision SciencesPI-Rambam, Prof. Eyal Fruchter, MD. Mental Health Division
- NLP Generated High Complexity Combination Therapy for Pancreatic Cancer
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TERA Grant 2022
Research projects awarded a grant:
1. Fusing mechanistic and data-driven models for decision making in dynamic environments (real-time information on the patient’s cardiovascular status, expected trajectory and underlying disease processes)
PI-Technion, Prof. Shie Mannor, PhD, Faculty of Electrical and Computer Engineering
PI-Rambam, Assoc. Prof. Danny Eytan, MD, PhD, Pediatric Intensive Care Unit2. Developing advanced tools to track and predict deterioration of critically-ill patients in the intensive care unit (surveillance and clinical decision support including treatment)
PI-Technion, Assoc. Prof. Joachim A. Behar (Oxon), PhD, Faculty of Biomedical Engineering
PI-Rambam, Assoc. Prof. Danny Eytan, MD, PhD, Pediatric Intensive Care Unit3. Intelligent monitoring for the robust diagnosis of cardiovascular diseases using continuous long term ECG recordings
PI-Technion, Assoc. Prof. Joachim A. Behar (Oxon), PhD, Faculty of Biomedical Engineering
PI-Rambam, Prof. Mahmoud Suleiman, MD, Cardiology4. Causal AI decision support for personalized diuretic recommendations in acute heart failure with acute kidney failure
PI-Technion, Assoc. Prof. Uri Shalit, PhD, Faculty of Data and Decision Sciences
PI-Rambam, Asst. Prof. Oren Caspi, MD, Heart Failure Unit, Cardiology