Beyond the lab: sensors and AI for a more connected approach to care
The fourth episode of “Incontri con il Futuro – Storie di innovazione dall’ecosistema RAISE”, the video-podcast created in collaboration with Rinnovabili.it, is now available. The series explores projects and key players in robotics and artificial intelligence research.
This episode has focused on a crucial topic for the future of healthcare: intelligent health monitoring. The guest is Giulia Bodo, Postdoctoral Researcher at Rehab Technologies – Italian Institute of Technology / INAIL Lab, who contributes to the activities of Spoke 2 within the RAISE ecosystem and has presented solutions developed for clinical monitoring based on environmental sensors and wearable devices.
During the conversation, the discussion has shown how these technologies have expanded the possibilities for observing and analyzing people’s health conditions, extending data collection beyond hospitals and clinical settings. Sensors embedded in environments and wearable devices have enabled continuous data acquisition, providing a more comprehensive and dynamic view of patient health.
The episode has explored applications across different clinical areas. Giulia Bodo has described how these solutions have supported the follow-up of pediatric, geriatric, and multiple sclerosis patients.
Continuous monitoring has made it possible to track the evolution of clinical conditions over time, supporting healthcare professionals in assessing care pathways and defining more targeted interventions.
The integration of sensors and artificial intelligence has played a key role. Data analysis has enabled the identification of meaningful patterns and relevant changes, providing tools to interpret complex signals and improve the quality of clinical decision-making. This approach has contributed to more personalized care, tailored to the specific needs of each patient.
The episode has also highlighted how these technologies can seamlessly fit into everyday life. Monitoring has become part of daily environments, creating continuity between clinical observation and real-world contexts. This has opened new perspectives for a more distributed healthcare model, capable of timely intervention and long-term support.
The discussion has emphasized the importance of collaboration between scientific research and clinical applications. The experience of Rehab Technologies has shown how engineering, medical, and technological expertise can converge to develop concrete solutions addressing real needs.
This episode offers a clear and accessible overview of how sensors and artificial intelligence can transform health monitoring, outlining a vision of care that is increasingly connected, personalized, and integrated into people’s lives.
