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.

The Registration closed!

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

March 7-8, 2022

Technion Students and Alumni

Prize - 20K 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).

Event Schedules

Prof. Uri Sivan, President of the Technion - Greeting
Prof. Michael Halberthal, Director General Rambam Health Care Campus - Recorded Greeting
Prof. Shie Mannor, Director of Machine Learning and Intelligent Systems (MLIS), Electrical Engineering, Technion
Prof. Noam Ziv, Technion Human Health Initiative (THHI), Medicine, Technion

Ensuring Machine Learning for Healthcare Works for All

Prof. Leo Anthony Celi, Massachusetts Institute of Technology, Harvard Medical School, Harvard T.H. Chan School of Public Health

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

Dr. Dvir Aran, Biology & Computer Science, Technion

Medical Imaging With Deep-Learning: What Do Our Networks Learn?

Dr. Moti Freiman, Biomedical Engineering, Technion

The Pitfalls and Potential of Using Machine Learning to Personalize Patient Treatments

Dr. Uri Shalit, Industrial Engineering and Management, Technion

Digital Biomarkers and Deep Learning for Physiological Time Series Analysis

Dr. Joachim A. Behar, Biomedical Engineering, Technion

The Technion-Rambam Center for Artificial Intelligence in Healthcare

Dr. Ronit Almog, Rambam Health Care Campus

Using Data Science to Transform Care

Prof. Ran Balicer, Chief Innovation Officer, Clalit, Founding Director, Clalit Research Institute

AI in Healthcare – a Policy Perspective

Mr. Yoel Ben-Or, Head of Policy, Digital Health, Ministry of Health

Driving Groundbreaking AI Based Medical Research with TIMNA Platform

Dr. Michal Gaziel – Yablowitz, Ministry of Health

Panel Discussion: Medical Data in Israel - Opportunities and Challenges

Dr. Ronit Almog, Dr. Joachim A.Behar, Prof. Ran Balicer, Mr. Yoel Ben-Or and Mgr. Michal Kfir


Prof. Rafael Beyar, Rambam Health Care Campus

Clinician Involvement in the Life Cycle of AI Tools in Healthcare - from Conception to Deployment

Dr. Danny Eytan, Rambam Health Care Campus, Medicine, Technion, Hospital for Sick Children (Toronto)

Closing the Gap Between an Uncertain Technology and Medical Device

Dr. Ruth Bergman, GE Healthcare

Novel Monitoring Technology for MS Patients in Hadassah MS Center and Unit of Neuroimmunology

Prof. Dimitrios Karussis, Director of MS Center and Unit of Neuroimmunology, Hadassah University Hospital

Fireside Chat Around Challenges to the Implementation of Health AI in Israel

Dr. Orna Berry, Director of Technology at the Google CTO’s office, Prof. Leo Anthony Celi, Massachusetts Institute of Technology, Harvard Medical School, Harvard T.H. Chan School of Public Health
Datathon Finalists Presentation

AI-Driven Triage

Dr. Kira Radinsky, Diagnostic Robotics and Computer Science, Technion
Datathon Prize Ceremony

Who's Speaking?


Prof. 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

Prof. 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

Mgr. Michal Kfir

Roche Pharmaceuticals Israel

Dr. Kira Radinsky

Chief Technology Officer at Diagnostic Robotics

Mr. Yoel Ben-Or

Ministry of Health

Dr. Michal Gaziel – Yablowitz

Ministry of Health

Dr. Orna Berry

Google CTO’s office

Datathon Mentors

Marie Charpignon

PhD candidate at MIT


Dr. Jonathan A. Sobel

Faculty of Biomedical Engineering, Technion



Registration to the Datathon is closed.

Participants wishing to pay through the Technion R&D Foundation, please contact the Conference Secretariat. Please do not pay through the website!

DATATHON location

The DATATHON will be held at the Faculty of Biomedical Engineering

  • Bus - get off at the bus station that close to the Nesher Gate.
  • Private car - we ask you to park outside the Technion, there are no public parking areas available inside.
  • The faculty is located near the Nesher Gate. Link to the Technion map (search for the Faculty of Biomedical Engineering).
  • Please inform guards at the gate about your visit purpose and ask for guidance.

Conference location

  • The event will held in the Spasner Hall at Rambam Hospital.
  • There are no special parking arrangements for conference guests in the parking lot.
  • Spasner Hall is near to the entrance to the emergency room (next to the "SAGOL" mall)

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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