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).

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.

Registration

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

Event Schedules

8:00

Door Open

9:00

Welcome Remarks

9:10

Working with Medical Data

Marie-Laure Charpignon, PhD candidate at MIT

9:30

Datathon Starts

19:00-20:00

Group Presentations

20:00

Finalists Announced

8:30-9:00

Reception and Registration

9:00-9:30

Welcoming Remarks & Greetings

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

9:30-10:00

Opening Guest Talk

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

10:00-11:20

Part #1: Current Trends in Machine Learning in Healthcare

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

11:20-11:40

Coffee Break

11:40-13:20

Part #2: Data Stakeholders

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

Moderator:

Prof. Rafael Beyar, Rambam Health Care Campus

13:20-14:20

Lunch & Networking

14:20-15:40

Part #3: Deployment of Machine Learning in Medical Practice

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

15:40-17:00

Closing Session: Datathon Finalist and Vision Talk

Datathon Finalists Presentation

AI-Driven Triage

Dr. Kira Radinsky, Diagnostic Robotics and Computer Science, Technion

Datathon Prize Ceremony

Who's Speaking?

TECHNION-RAMBAM HACK

Datathon 7-8.03.2022 | Conference 09.03.2022

In collaboration with the MIT Critical Data group

1 | Datathon 7-8.03.2022

2 | Conference 09.03.2022

Event Schedules

Monday

7 March

Tuesday

8 March

Wednesday

9 March