Principal Investigator: Prof Dr Domenec Puig
Email: domenec.puig@urv.cat
Web: https://webs-deim.urv.cat/~rivi/
Brief Theme Description:
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 computation models by reshaping risk prediction, diagnosis, and management of a variety of diseases, and accelerating the translation of research into practical applications.
Available Infrastructures: The URV lab directed by Prof Dr Domenec Puig is part of the 2021-SGR-00114 (ITAKA: Intelligent Technologies for Advanced Knowledge Acquisition) consolidated research group (granted by the AGAUR agency). The research team in this lab is multidisciplinary, including doctors specialised in:
- Computer Vision, Pattern Recognition, Medical Imaging, Data Visualization, 2D and 3D Modelling.
- Artificial Intelligence, Data Mining, Intelligent Decision Support Systems, Machine and Deep Learning.
Furthermore, the projects that the URV team has recently carried out have enabled the group’s laboratory to be equipped with the main infrastructure necessary for the development of projects within its field of specialisation. Thus, given that this proposal is based on the development of ICT technologies, the high-performance computing equipment already available in the URV lab is a strong point to deal with the urgent need for intensive calculations required for the computational processing of medical images and clinical data.
Possible Secondments: KTH (Sweden), UBFC (France), Radboud (Netherlands).
Keywords: Computer-based Diagnosis; Medical Imaging; Digital Health; Machine Learning; Big Data; Deep Learning.
