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Keynote Lectures

Predict, Prevent, Protect: The Digital Transformation of Fall Risk Assessment
Lorenzo Chiari, University of Bologna, Italy

Digital Mental Health Care: Current Evidence and Key Priorities
Joseph Firth, The University of Manchester, United Kingdom

 

Predict, Prevent, Protect: The Digital Transformation of Fall Risk Assessment

Lorenzo Chiari
University of Bologna
Italy
 

Brief Bio

Prof. Lorenzo Chiari is a Full Professor of Biomedical Engineering at the University of Bologna, where he leads research in digital health, wearable sensing, and AI-driven fall prevention. He has been the principal investigator of multiple EU-funded and national research projects, collaborating with leading academic, clinical, and industrial partners to bridge the gap between biomedical engineering and geriatric healthcare. Prof. Chiari has authored numerous high-impact scientific publications and has been an invited speaker at major international conferences on digital health, AI in medicine, and gerontechnology. Since 2022, he has been the president of the board of directors of the "DARE - Digital Lifelong Prevention" Foundation and the PI of the research project under the same name. DARE (2022-2026) is funded by the Italian Ministry of University and Research and aims to establish Italy as a leading country in digital prevention.


Abstract
Falls are a major health concern for older adults, contributing to injury, loss of independence, and significant healthcare costs. In this keynote, I will explore how digital technologies are transforming fall prevention, leveraging wearable sensors, artificial intelligence, and remote monitoring.

After a review of the state of the art in this field and its main open challenges, I will focus on presenting my research group's most recent and ongoing work at the University of Bologna, which has pioneered innovative solutions in digital fall risk assessment. Our recent achievements include refining the FRAT-up model, integrating symbolic AI techniques to enhance fall prediction accuracy, and using wearable sensors to monitor movement patterns and physiological signals in real-world conditions for developing innovative digital biomarkers. Additionally, our studies are investigating the role of sleep quality and heart rate variability as predictive markers of fall risk, paving the way for early intervention strategies.

By combining advanced data analytics with clinically validated assessment tools, these developments represent a significant step forward in proactive and personalized fall prevention. The keynote will highlight how these innovations are shaping the future of elderly care and discuss the next frontier in digital health solutions for mobility preservation.



 

 

Digital Mental Health Care: Current Evidence and Key Priorities

Joseph Firth
The University of Manchester
United Kingdom
 

Brief Bio
Available Soon


Abstract
Available Soon



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