RENALERT-AI
Renal Dysfunction and Effects on Neurological and Attention-Related Tasks: the Role of Artificial Intelligence.
RENALERT-AI aims to develop an AI platform for the early prediction of cognitive decline in renal and haemodialysis patients, with the aim of supporting clinical practice through innovative tools for telemedicine, remote monitoring and predictive medicine
The project
RENALERT-AI is a research project focused on the development of an advanced Artificial-Intelligence-based platform for the monitoring and early prediction of cognitive decline (CD) in patients with chronic renal failure undergoing haemodialysis treatment.
Given the high clinical and social impact of CD, the project was conceived with the idea of developing and making available to clinicians a predictive algorithm capable of accurately identifying renal patients with CD and, above all, of identifying those at the highest risk of these complications, so that all possible preventive procedures or any pharmacological therapies can be adopted.
The project integrates telemedicine systems, interoperable clinical databases and Machine Learning algorithms aimed at analysing the clinical, metabolic and neurological parameters associated with the progression of cognitive deficit.
The research activities involve the collection and analysis of large clinical and biological datasets, the validation of circulating and epigenetic biomarkers and the development of Clinical Decision Support tools capable of generating predictive alerts useful to healthcare staff.
Results
The expected results of the RENALERT-AI project include the development of an advanced software platform for the prediction of cognitive decline in renal patients, the validation of new diagnostic and prognostic biomarkers and the implementation of innovative tele-monitoring and clinical decision-support systems
The project will contribute to improving the quality of life of haemodialysis patients, to reducing the morbidity and mortality associated with neurological complications and to optimising care pathways.
Significant outcomes are also expected in terms of reduced healthcare costs, clinical-data interoperability and technology transfer in the field of digital health, predictive medicine and AI applied to nephrology.