Seed Fund

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, Rambam

Grant amount 100,000 NIS

Winners:

1. In Vivo and In Vitro Energetics-dependent Biomarkers of Postoperative Atrial Fibrillation Risk in Patients Before, During and After Surgery
   PI-Technion, Prof. Yael Yaniv, Faculty of Biomedical Engineering
   co PI-Rambam, Dr. Tom Friedman, MD, Department of Cardiac Surgery 




2. 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

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 Saclay
Dr. Ayellet Eran - Director of MRI, Rambam

Grant Amount: Technion awardees – $70,000 (after overhead), and French awardees – €100,000

Grant amount: 120K per project, delivered in two portions, contingent on an additional competitive grant

Research projects awarded a grant:

1. NLP Generated High Complexity Combination Therapy for Pancreatic Cancer
   PI-Technion, Assist Prof. Yosi Shamay, PhD, Faculty of Biomedical Engineering
   PI-Rambam, Prof. Irit Ben Aharon, MD, PhD, Oncology Center


2. 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 Biology
   PI-Rambam, Dr. Irena Papier, RN, DMS


3. A Wearable Kinematics and Machine Learning Approach for Rebalancing Knee Loads
   PI-Technion, Assist. Prof. Arielle Fischer, PhD, Faculty of Biomedical Engineering
   PI-Rambam, Dr. Bezalel Peskin, MD, Orthopedic Division, Knee & Arthroscopy Unit


4. Advancing Research and Practice in Suicide Prevention Through Artificial Intelligence
   PI-Technion, Prof. Roi Reichart, PhD, Faculty of Data and Decision Sciences
   PI-Rambam, Prof. Eyal Fruchter, MD. Mental Health Division

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 Unit

2. 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 Unit

3. 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, Cardiology

4. 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