This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...
Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often suffer from ...
Objective A panel of antibodies against three antigens, University Hasselt (UH)-rheumatoid arthritis (RA).305, 318 and 329, has been associated with lack of response to first-line therapy in the Care ...
Background Metabolic-associated steatotic liver disease (MASLD) is a prevalent chronic liver disease affecting approximately ...
Objective Geriatric patients often face issues related to polypharmacy and adverse drug events. Re-evaluating prescribed medications and considering deprescribing is critical. Medication discrepancies ...
Objective To estimate the prevalence of potential overtreatment of type 2 diabetes mellitus (T2DM) among older adults and to develop and compare predictive models to identify patient and physician ...
It has long been known as the arbiter of reward in the brain, but recent findings could upend this classic theory of dopamine ...
The artificial intelligence “scare trade” erupted again on Monday as growing concerns about the disruptive power of AI dragged down shares of delivery, payments and software companies, and sent ...
Epilepsy is one of the common disorders known to man, with early accounts of the disorder traced back to antiquity.1 It was ...
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