Explainable AI to identify relevant & interpretable biomarkers for clinical decisions from multimodal data

Prof Dr Domenec Puig, established at the Universitat Rovira i Virgili (Tarragona, Spain), is interested in receiving Expressions of Interest of potential candidates for this Postdoctoral Fellowship call:

Beatriu de Pinós (BdP) 2025

The overarching goal of the research project developed by the group is to investigate robust and explainable AI models for Medical Imaging and aid Medical Diagnosis, Digital Health and Well-Being with AI.

Introducing virtual twin-driven AI models for medical diagnosis of a variety of diseases and its complications. Novel personalised virtual twins and decision-support tools to help prevent a disease, while optimising acute management and rehabilitation. Ultimately, the goal is to provide a better quality of life for patients and caregivers, and lower healthcare costs.

The target is to define new intelligent computational models by reshaping risk prediction, diagnosis, and management of a variety of diseases, and accelerating the translation of research into practical applications.