Autor: Amarys Aguilar

Biophysical models applied to dementia patients reveal links between geographical origin, gender, disease duration, and loss of neural inhibition

Applying the ethics of AI: a systematic review of tools for developing and assessing AI-based systems

Gracias a la ciencia de datos se busca optimizar el diagnóstico del Alzheimer

by Amarys Aguilar

Una nueva nota sobre la investigación desarrollada por nuestros investigadores…

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A flexible Clayton-like spatial copula with application to bounded support data

A comparative study of CNN-capsule-net, CNN-transformer encoder, and Traditional machine learning algorithms to classify epileptic seizure

Predicting passenger satisfaction in public transportation using machine learning models

Associations of the ‘weekend warrior’ physical activity pattern with all-cause, cardiovascular disease and cancer mortality: the Mexico City Prospective Study

Walking the talk for dementia: A unique immersive, embodied, and multi-experiential initiative

Neurocognitive correlates of semantic memory navigation in Parkinson’s disease

Heterogeneous factors influence social cognition across diverse settings in brain health and age-related diseases

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