About DataMED Lab
DataMED Lab conducts two main types of studies to advance clinical decision-making and healthcare delivery. The first are data-driven projects that leverage large datasets from various healthcare sources. Advanced machine learning techniques are applied to build predictive models, evaluate technologies, and optimize resource allocation.
The second type of study takes place in the Computer Lab. Through simulated patient case scenarios, this environment assesses how clinicians arrive at decisions. Tools like machine learning, natural language processing and large language models analyze rationales. Interventions are then piloted to augment the decision process.
Overall, by combining real-world health data analytics and simulated clinical reasoning research, we aim to enhance decision support tools. The goal is providing evidence to drive policies that support both providers and patients for more efficient, effective and equitable healthcare worldwide.
Meet the Team
Dr. Mor Saban
Head, DataMed lab
As head of DataMED Lab and senior lecturer, I'm dedicated to advancing healthcare through innovative solutions. My research focuses on clinical decision optimization using NLP, ML and GenAI. The goal is providing data-driven insights to improve decision support tools and care policies. Through real-world analytics and simulated case studies, we examine how technology like large language models can augment the reasoning process. By enhancing decision making, our work seeks to develop more efficient and equitable systems internationally for patients and providers.
Etti Naimi lab manager
As an experienced nurse and medical research expert at DataMED Lab, Etti serves as a Project Manager. In this role, she refines research ideas into feasible project plans and oversees their implementation from concept to completion.
Rut Cohen, Data Scientist
Rut Cohen is our experienced data scientist with a background in data science and bioinformatics. She develops predictive models using ML and statistical analysis of large healthcare datasets. Rut identifies trends and risk factors that provide clinical insights. These findings optimize decision-making and resource utilization for our partner organizations. Rut's analytical research empowers providers and health systems with actionable data-driven intelligence.
Yaniv Alon, Data Scientist
As a medical research expert and data scientist at DataMED Lab, my focus is on developing systemic solutions and model building that drive growth-oriented medical innovations. Using NLP, Computer Vision and process analytics, I hope to develop health system streamline strategies
Yaeli Cohen, Senior Data Science Advisor
Yaeli Cohen is a highly experienced senior consultant to DataMed Lab. With over a decade leading data science teams at major technology companies, she brings extensive industry expertise in ML, NLP ang LLMs (GenAI).
Holding a Computer Science degree, Yaeli has successfully driven countless analytics projects involving vast datasets. She has optimized business outcomes through every phase of problem definition, model building, and deployment.
Now at DataMed Lab, Yaeli leverages this wealth of leadership to advise senior academic researchers. As a highly skilled practitioner and teacher, she ensures projects adhere to best practices and have the highest chance of generating novel insights.