Research Hub
Health Data Analytics
We leverage advanced analytics, AI and ML capabilities to design multilayer and multimodal solutions that drive clinical insights, utilizing our unique access to Clalit's comprehensive birth-to-death datasets. Conducting research at the point-of-care within the Davidoff Cancer Center enables close collaboration between clinical and analytics experts to design and administrate novel treatment protocols.
We focus on unlocking advanced insights from structured and unstructured clinical data to drive novel models for early detection, prediction and prognostication, personalized treatment, and real-time clinical decision support.
This data-powered innovation is redefining the boundaries of cancer research, shaping the future of precision oncology and setting new standards for how cancer is detected, understood and treated.
Led by
Ronen Tal
Chief Data Officer
Seasoned technology leader with 25 years of industry experience spanning data architecture, AI model development and advanced analytics. Enables organizations to harness data for impactful predictions and decision-making.
Building on our key achievements 2023–2025
- Developed AI-based tools for extracting clinical insights from unstructured medical reports
- Launched MedScout©, an AI platform optimizing patient recruitment for clinical trials
- Created CompoCT©, an AI tool that analyzes CT images to automatically determine body composition
- Designed an ML model for HCC risk prediction in MASLD (fatty liver) patients
Growth strategy »2030
- Scale up our data assets and analytical capabilities to generate innovative, patient-centric clinical insights
- Accelerate novel therapeutics R&D through new computational analytics tools
- Forge new partnerships in Israel and globally to impact cancer patients worldwide
- Achieve global standing by leading innovation in computational health
- 3
- Strategic partnerships
- 10
- New database layers
- 20
- Clinical insights
- 10
- Publications
- 6
- Strategic grant wins
