Within the framework of the Regional Programme (PR FESR) 2021–2027, co-funded by the European Union and the Italian State, the Lombardy Region supports—through the “Collabora & Innova” call—projects in Industrial Research and Experimental Development carried out in partnership among SMEs, large enterprises, and Research Organizations, with the objective of developing product and/or process innovations. The University of Insubria, and in particular our CLIP Team, is a partner in a project funded under this framework, entitled RecoverAI.
RecoverAI is a research and development initiative aimed at strengthening continuity of care during the post-discharge phase through the adoption of Symbiotic Artificial Intelligence solutions, conceived as tools that augment—rather than replace—human clinical intervention. The project focuses on two primary clinical contexts: women discharged after breast cancer surgery and caregivers of patients diagnosed with mild neurocognitive disorder or early-stage major neurocognitive disorder.
A distinctive component of RecoverAI is the structured integration of digital light therapy within the care pathway. The platform incorporates a dedicated light-based intervention module, designed to support circadian regulation, mood stabilization, sleep quality, and overall psychophysical balance during the critical transition from hospital to home. This light therapy system operates in synergy with conversational AI, psychological and emotional monitoring, and evidence-based informational services grounded in validated clinical content. In addition, the platform provides motivational support for physical activity, creating a multimodal and coordinated intervention framework.
By embedding light therapy as an active and programmable component of the digital ecosystem, RecoverAI moves beyond purely informational or conversational support, offering a tangible, physiologically oriented tool that can be personalized and remotely managed alongside other supportive functions.
Expected outcomes include improved patient understanding of the care pathway, reduced communicative burden on healthcare staff, more continuous support for psychological and physical well-being—reinforced by circadian and mood regulation—and greater informed adherence to clinical recommendations. Overall, the project promotes a more sustainable, personalized, and person-centered model of care.
Project lead: Exprivia S.p.A.
Scientific coordinator for the University of Insubria team: Prof. Matteo Clerici, Department of Science and High Technology.
