In this paper, we analyse the different advances in artificial intelligence (AI) approaches in
multiple sclerosis (MS). AI applications in MS range across investigation of disease …

Background and Objectives After the enormous health burden during the acute stages of the
COVID-19 pandemic, we are now facing another important challenge, that is, long-COVID, a …

Predictive model performance may deteriorate when applied to data sources that were not
used for training, thus, external validation is a key step in successful model deployment. As …

Introduction The incorporation of health-related sensors in wearable devices has increased
their use as essential monitoring tools for a wide range of clinical applications. However, the …

Background Multiple sclerosis (MS) is a chronic autoimmune disease characterised by
central nervous system inflammation, demyelination, and neurodegeneration, making it a …

Mood and emotion are considered distinct phenomena, yet there is a general lack of
consensus within the scientific community concerning their definition. Leveraging on a …

Background Longitudinal tracking of multiple sclerosis (MS) symptoms in an individual's own
environment may improve self-monitoring and clinical management for people with MS …

Healthcare researchers are increasingly utilizing smartphone sensor data as a scalable and
cost-effective approach to studying individualized health-related behaviors in real-world …

Neurological diseases that cause severe motor and cognitive impairments pose a major
challenge to public health. Advanced sensing technologies have emerged to assess motor …