Aims Machine learning (ML), a branch of artificial intelligence that uses algorithms to learn
from data and make predictions, offers a pathway towards more personalized and tailored …

Featured Application The proposed methodology is an application for monitoring people,
tracking, and localization, which is evaluated over several challenging benchmark datasets …

Existing artificial intelligence (AI) models for diagnosing knee osteoarthritis (OA) have faced
criticism for their lack of transparency and interpretability, despite achieving medical-expert …

The global spread of COVID-19 led the World Health Organization to declare a pandemic on
11 March 2020. To decelerate this spread, countries have taken strict measures that have …

Background Identifying biomarkers may lead to easier detection and a better understanding
of pathogenesis of pancreatic ductal adenocarcinoma (PDAC). Methods Plasma small …

There is a significant risk of injury in sports and intense competition due to the demanding
physical and psychological requirements. Hamstring strain injuries (HSIs) are the most …

Uterine corpus endometrial carcinoma (UCEC) has a strong ability of invasion and
metastasis, high recurrence rate, and poor survival. Glycosyltransferases are one of the most …

Knee OsteoArthritis (OA) is a prevalent chronic condition, affecting a significant proportion of
the global population. Detecting knee OA is crucial as the degeneration of the knee joint is …

Exposure to radiation has been associated with increased risk of delivering small-for-
gestational-age (SGA) newborns. There are no tools to predict SGA newborns in pregnant …

Objective To investigate the test–retest precision and to report the longitudinal change in
cartilage thickness, the percentage of knees with progression and the predictive value of the …