Prof. Dr. Maria-Esther Vidal
Mentor of the Semantic Models Group, TIB, Research Center L3S
Prof. Maria-Esther Vidal brings to CAIMed her expertise in semantic data integration, symbolic reasoning, and knowledge graphs to develop cutting-edge explainable AI models. As the leader of the Scientific Data Management group, she specializes in semantic-driven approaches that combine symbolic reasoning and learning to uncover patterns that explain treatment effectiveness. Her goal is to create hybrid AI models by integrating semantic methods with neural learning. These hybrid AI models aim to identify patient conditions that predispose them to adverse treatment responses, thereby improving personalized healthcare interventions.
At CAIMed, we integrate diverse medical data sources—clinical trials, patient records, research papers, anecdotes—into knowledge graphs. Our hybrid AI models blend symbolic reasoning with accuracy to optimize medication, reduce complications, and enhance outcomes for specific diseases, advancing personalized medicine.
