Digital Healthcare Innovation Lab

The DHI Lab - Digital Healthcare Innovation Lab research group focuses on designing, developing, and validating digital methods and technologies to innovate processes related to prevention, diagnosis, monitoring, and treatment, thereby contributing to a more personalized, predictive, safe, and efficient healthcare system. The group’s activities integrate expertise in medical informatics, artificial intelligence, and data science, with a particular focus on translating research findings into clinical and preclinical applications.
The group works on the integration and analysis of heterogeneous biomedical data—including physiological signals, images, clinical texts, and multimodal data—to develop models and tools to support clinical decision-making. In this context, artificial intelligence is used to create support systems aimed at improving diagnostic accuracy, risk stratification, and the personalization of patient care interventions.
The same expertise is also applied to the development of digital twins of in vitro biological models, used to simulate and predict the response of cellular systems to external stimuli. This approach helps accelerate preclinical research, making experimental evaluation more efficient and helping to reduce time, costs, and the need for animal testing.
Another area of research focuses on smart wearable technologies for remote monitoring, with a particular emphasis on heart failure. The group designs and develops advanced sensors and systems for the continuous, non-invasive acquisition of physiological parameters, with the aim of identifying early signs of clinical deterioration and supporting more timely care models that prioritize continuity of care.
Transversally, the group pays particular attention to the quality, reliability, and transferability of the proposed solutions, addressing the issues of validation, safety, data integrity, and regulatory compliance in an integrated manner within the context of medical device software development.