Datathon 7-8.03.2022 | Conference 09.03.2022

In collaboration with the MIT Critical Data group

1 | Datathon 7-8.03.2022

Health professionals from the Rambam Health Campus will propose challenges that they face in their clinical practice. Prior to the datathon, participant will make a wish list to enroll in one of these projects. Teams and assignments will be announced at the event Teams will then work on the topic during the two-days long datathon. Teams will include health professionals, data scientists and enthusiasts (anyone else) passionate about healthcare, data analytics, and cross-disciplinary collaboration to answer clinical questions and health system challenges.

At the end of the second day, teams will present their results and three teams will be selected to present their project during the conference day on the 9th. There the finalists will be evaluated by a jury consisting of engineer, clinicians and health stakeholders and the winner announced.

Datathon organizers: Jonathan A. Sobel (Technion), Danny Eytan (Rambam) and Marie Charpignon (MIT).

Faculty of Biomedical Engineering, Technion

March 7-8, 2022

Technion Students and Alumni

Prize - 10K NIS

2 | Conference 09.03.2022

This joint event organized by the Technion, Rambam Health Care Campus and the MIT Critical Data group will provide a unique opportunity to listen to leading engineers and clinicians working in the field of medical data science. The guest talks sessions will introduce to a wide audience to the field of clinical data science, including those with both technical and non-technical backgrounds and provide a perspective on its future impact to the field of medicine.

Scientific committee: Joachim A. Behar (Technion), Ronit Almog (Rambam) and Leo Anthony Celi (MIT).

Spencer Hall, Rambam Hospital

March 9, 2022

Open to all

Event Schedules

Prof. Uri Sivan, President of the Technion, Israel Institute of Technology - Greeting recording
Dr. Michael Halberthal, MD, MHA; Director General Rambam Health Care Campus
Prof. Shie Mannor, Director MLIS, Technion, Israel Institute of Technology

Ensuring machine learning for healthcare works for all

Dr. Leo Celi Anthony, MIT Critical Care

Effectiveness of Oncology Treatments: Using Real-World Data to Inform Clinical Decisions

Dr. Dvir Aran, Technion Biology & CS

Responsible utilization of Deep-learning methods in medical imaging

Dr. Moti Freiman, Technion BME

The pitfalls and potential of using machine learning to personalize patient treatments

Dr. Uri Shalit, Technion IE

Digital biomarkers and deep learning for physiological time series analysis

Dr. Joachim A. Behar, Technion BME

The Technion-Rambam Center for Artificial Intelligence in Healthcare

Dr. Ronit Almog, Rambam Health Care Campus

Medical data science with Clalit

Dr. Ran Balicer, Clalit Research

Challenges & Opportunities in Health Data Regulation in Israel

Yoel Ben-Or, Ministry of Health

Panel discussion: Medical data in Israel - opportunities and challenges

Dr. Almog, Dr. Balicer, Yoel Ben-Or


Prof. Rafael Beyar, Rambam

Clinical evaluation of ML models in the intensive care unit

Dr. Danny Eytan, Rambam Health Care Campus

Closing the gap between an uncertain technology and medical device

Dr. Ruth Bergman, GE Healthcare


Prof. Mihaela van der Schaar, University of Cambridge
Datathon finalists presentation

The future of ML research in Israel

Dr. Kira Radinsky, Diagnostic Robotics and Technion CS
Prize ceremony

Who's Speaking?


Dr. Leo Anthony Celi

Institute for Medical Engineering and Science, MIT

Dr. Dvir Aran

Biomedical Data Science Lab at the Faculty of Biology, Technion

Dr. Moti Freiman

Faculty of Biomedical Engineering, Technion

Dr. Uri Shalit

Faculty of Industrial Engineering and Management, Technion

Dr. Joachim Behar

Faculty of Biomedical Engineering, Technion

Dr. Ronit Almog

Director of the Epidemiology Unit & Chief Data Scientist at Rambam

Dr. Ran Balicer

Chief Innovation Officer at Clalit Health Services

Dr. Danny Eytan

Staff Physician, Pediatric Critical Care Unit at Rambam

Dr. Ruth Bergman

Chief Technology Officer at General Electric Healthcare

Prof. Mihaela van der Schaar

University of Cambridge

Dr. Kira Radinsky

Chief Technology Officer at Diagnostic Robotics

Yoel Ben-Or

Ministry of Health

Datathon Mentors

Marie Charpignon

PhD Student at MIT


Dr. Jonathan A. Sobel

Faculty of Biomedical Engineering, Technion



Early Bird Registration is now open
Until February 8th 2022
Apply to participate in the Datathon
Until January 15th 2022

Participants wishing to receive a refund from the Technion R&D Foundation, please contact the Conference Secretariat.

Please do not pay through the website!

Event Guideline

  • The event will be held under the restrictions of the Green Pass. Subject to changes by the Ministry of Health.
  • At the conference please keep the safety instructions, wear a mask and keep a 2 meters distance from each other.
  • For special requests regarding food | questions regarding COVID19 - please send an email to Conference Secretariat.

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