WE ARE AGEING LAB

This joint laboratory of the Hospital Universitario de Getafe and the CTB-UPM was created in 2015 to take advantage of the synergies derived from the collaboration of clinical experts in ageing from the Hospital Universitario de Getafe, together with their worldwide community of collaborators, and technologists from the CTB-UPM into a multi-disciplinary research team. These synergies allow the validation of research activities in patients treated at their usual health care setting; thus, fostering translational research.

The consequences of ageing are a major challenge for modern societies. The WHO “World Report on Ageing and Health” (October 2015) states that assistance and care for the elderly must aim to maintaining functional autonomy rather than treating or curing a disease. The Ageing Lab focuses on one of the main health-related problems in the older people: disability; and its main risk factor: frailty. Disability has a strong impact on both people’s quality of life (individual impact) and healthcare and social systems sustainability (socio-economic impact).

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OUR VISION

Understanding fundamentals of ageing

Clinical and biological mechanisms of ageing, frailty, functional impairment, and related syndromes and pathologies; with a particular emphasis on interactions between them.

Developing tools to better care older adults

CT-based systems and computational models for the integrated care of the elderly, including diagnosis and objective assessment via continuous, ubiquitous, and unobtrusive care.

Promoting autonomy

Including prevention of decline and fostering self-management for both the elderly and caregivers.

Ageing and society

Economic, societal, legal, and other issues related to ageing. Studying the proper ecosystems for older people to develop an active and healthy ageing.

INFRASTRUCTURE

It comprises facilities at the Hospital Universitario de Getafe and the CTB. One lab will be devoted to these tasks at the Research Unit of the Hospital Universitario de Getafe, where two full-time researchers work on the previously described research programs and lines.

TECHNIQUES

  • Mobile computing (mHealth, software engineering)
  • Human-computer interaction (user-centred design)
  • Behavioural biometrics
  • Data analytics (machine learning, (stream) data mining, natural language processing)
  • Signal processing (data fusion)
  • Biomechanics

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