4th Meeting - Artificial intelligence applied to the promotion of healthy cognitive ageing

Abstract

Artificial intelligence offers great opportunities for the promotion of healthy ageing. On the one hand, the use of smart electronic devices to remotely monitor different health parameters will help to improve healthcare for the elderly and promote their level of functional autonomy. On the other hand, the use of modern computational analysis techniques will make it possible to combine data of a dynamic and static nature, thus offering new possibilities for the extraction of predictors and specific algorithms for healthy and pathological ageing. In particular, the identification of new biomarkers of ageing will facilitate an integrative view of the underlying biological processes and allow the construction of causal models of longevity. Artificial intelligence promises, therefore, not only to move towards predictive and personalised interventions, but also to be able to aggregate and integrate information, laying the foundations for the implementation of data-driven decision-making systems. It is precisely this ability to extract and interpret complex data patterns that presents a great opportunity for the promotion of healthy ageing and longevity.

Speakers:

Miguel Ángel Fernández Blázquez

D. in Psychology and is currently Associate Professor in the Department of Experimental Psychology, Cognitive Processes and Speech Therapy at the Complutense University of Madrid. He is also a lecturer at the Villanueva University of Madrid. Previously, he directed the Neuropsychology Area of the Neurological Diseases Research Centre Foundation (CIEN Foundation) from April 2014 to March 2021.

He has coordinated and led different research projects funded in competitive calls, all of them aligned around the field of healthy cognitive ageing and pathological cognitive ageing, the search for early cognitive markers of cognitive impairment, especially subjective cognitive impairment, and the promotion of longevity. He has also been an advisory member of the State Dementia Group, through which he has collaborated in the development of the National Alzheimer's Plan. As a clinical neuropsychologist, throughout his professional career he has extensive experience in the assessment, diagnosis and neuropsychological intervention of patients with all types of brain disorders.

Jaime Gómez-Ramírez 

Scientific Project Officer at the Joint Research Centre, Centre for Advanced Studies of the European Commission. He is Professor at the Complutense University of Madrid and Visiting Professor at the University of Turin, Italy. He completed his postdoctoral training in Japan at the Biomedical Engineering Laboratory, Okayama University, USA at the Center for Sleep and Consciousness, University of Wisconsin-Madison and Canada at Sickkids Hospital, Department of Neuroscience and Mental Health, University of Toronto.

Jaime Gomez-Ramirez is a scientist with experience in the private IT sector and in allocating funds for R&D and advising government and private bodies on innovative science funding. Professor Gómez-Ramirez's research focuses on multiscale mathematics. Modelling of complex systems, specifically brain networks. An original aspect of her work is the use of category theory in brain connectivity. Working as a computational neuroscientist, he is interested in furthering our understanding of the dynamics of brain networks and what they tell us about healthy brain ageing. He has extensive training as an experimental and clinical neuroscientist in neuroimaging (fMRI) and electrophysiology (iEEG). Gómez-Ramírez is also interested in Social Sciences, in particular Economics. 

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