Medical Information Analytics Lab

In the Medical Information Analytics Labs, we research ideas for innovative healthcare technologies using Artificial Intelligence. We focus on combining different data sources and training multimodal prediction models. We collaborate with several hospitals including Soroka medical center, Shamir medical center (formerly Assaf Harofeh medical center), and Beit Rivka geriatric center.

Our research covers the following areas:

  1. Expanding drug knowledge, we use more than twenty data sources to train machine learning models for a variety of tasks:

    1. Classifying drug safety properties such as drug-drug interactions, side effects, and drug safety during pregnancy

    2. Drug repurposing

    3. Synergistic drug classification 

  2. Text mining using medical data

  3. Treatment outcome prediction

Watch Guy Shtar describing some of our key research subjects (available only in Hebrew at the moment). The video can be downloaded from here.

A presentation given by Guy Shtar @ WSDM 2021 doctoral consortium is also available.

(01/2021) Our medical information lab received funding from the Israeli innovation authority (bioconvergence track)

Published papers:

Shtar G, Rokach L, Shapira B, Nissan R, Hershkovitz A. Using Machine Learning to Predict Rehabilitation Outcomes in Post-acute Hip Fracture Patients. Archives of Physical Medicine and Rehabilitation. 2020 Sep 16.

Shtar G, Rokach L, Shapira B. Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures. PloS one. 2019 Aug 1;14(8):e0219796.

Our Team