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Smartphone apps and wearable devices for monitoring and prevention of chronic diseases

The increasing prevalence of mobile devices among patients of all demographic groups has the potential to transform the ways we diagnose, monitor, treat, and study chronic disease. Sensors in our phones leave a stream of digital traces. Personal sensing refers to collecting and analysing data from sensors embedded in the context of daily life with the aim of identifying human behaviours and traits. The emerging paradigm of Internet of Things (IoT) and Artificial Intelligence (AI) offers unprecedented opportunities for m-Health

May motion analysis help ASD early diagnosis?

Autism Spectrum Disorders (ASD), grouping besides autism, a wider spectrum of symptoms, refer to a series of abnormal manifestations of cognitive development that can emerge in babies between 6 and 24 months, for example: deficiency in verbal and non-verbal communication, deficiency in social interactions, repetitive and stereotyped behaviours. Autism is classified as neurological pathology and it has been detected for the first time in the early years of 1900. Since then the disease has been object of study, because what triggers it has not been

October 12th, 2017|Categories: ICT, Research & Development|Tags: , |

MoveCare: a revolution for the third age

It’s been recently published by University of Adelaide a study that focuses on the application of artificial intelligence in diagnostic field, with the aim of determining who, among the subjects involved, has major probabilities of decease in a temporal horizon equal to 5 years (https://www.nature.com/articles/s41598-017-01931-w ). Far beyond simplistic gruesome consideration one may easily express, the goal of the research is set to be the prevention of non-immediately detectable pathologies that still during the years evolve damaging human body and bringing

September 28th, 2017|Categories: Horizon 2020|Tags: , , |