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About

Alberto Cella is a researcher whose work sits at the intersection of geriatric medicine, rehabilitation robotics, and digital health technologies, with a particular focus on improving outcomes for older adults. His most significant contribution to the field is the development and validation of a robotic multifactorial fall-risk predictive model, published in 2020 and garnering 57 citations, which demonstrated the potential of automated systems to identify elderly individuals at risk of falling — a critical public health challenge given the high morbidity, mortality, and social costs associated with falls in this population. Building on this, his 2019 work on robotic balance assessment in community-dwelling older adults (35 citations) established important benchmarks for evaluating physical performance across varying degrees of impairment, underscoring the clinical utility of robotics in geriatric assessment. Cella has also advanced the concept of smart post-hospitalization care, exploring how domotics, robotics, and automated tele-monitoring can address delayed hospital discharge and support continuity of care. Collectively, his research positions him as a forward-thinking contributor to the integration of intelligent technologies into elder care and preventive geriatric medicine.