The adoption of artificial intelligence (AI) algorithms is rapidly increasing in healthcare. Such
algorithms may be shaped by various factors such as social determinants of health that can …

In modern life, the application of artificial intelligence (AI) has promoted the implementation
of data-driven algorithms in high-stakes domains, such as healthcare. However, it is …

Latin American populations may present patterns of sociodemographic, ethnic and cultural
diversity that can defy current universal models of healthy aging. The potential combination …

An individualized innovative disease management is of great importance for people with
multiple sclerosis (pwMS) to cope with the complexity of this chronic, multidimensional …

Federated Learning (FL) is a platform for smart healthcare systems that use wearables and
other Internet of Things enabled devices. However, source inference attacks (SIAs) can infer …

Lake thermal dynamics have been considerably impacted by climate change, with potential
adverse effects on aquatic ecosystems. To better understand the potential impacts of future …

Operator attention failure due to mental fatigue during extended equipment operations is a
common cause of equipment-related accidents that result in catastrophic injuries and …

Background Depression is a prevalent mental health challenge. Current depression
assessment methods using self-reported and clinician-administered questionnaires have …

We aimed to identify serum biomarkers that predict knee osteoarthritis (OA) before the
appearance of radiographic abnormalities in a cohort of 200 women. As few as six serum …

Background Obesity is a leading cause of preventable death worldwide. Artificial
intelligence (AI), characterized by machine learning (ML) and deep learning (DL), has …