Latest AI and machine learning research in primary care for healthcare professionals.
ConspectusOrganoboron compounds serve as fundamental building blocks in the construction of diverse functional molecules, ranging from pharmaceuticals to materials. The discovery of boron-related new chemical transformations serves as a pivotal driving force for developing functional substances. Nevertheless, de novo design of new reactions remains challenging, requiring both the elucidation of co...
Urbanized coastal zones are increasingly exposed to complex mixtures of pharmaceuticals and illicit drug markers (PhACs), yet ecological risk assessment (ERA) remains constrained by limited experimental chronic toxicity data, particularly for marine environments. Here, we applied an integrated Weight-of-Evidence (WoE) framework combining experimentally derived ecotoxicological endpoints with quant...
"Unpatients" are health-conscious individuals -carrying a genetic susceptibility whose impact is unclear with respect to the risk of a clinical event-...
The increase in chest CT volumes affords radiologists the opportunity to systematically assess imaging biomarkers, including coronary and thoracic art...
Breast arterial calcifications (BAC) are associated with increased cardiovascular risk and have been correlated with other methods of cardiovascular r...
Obesity has become alarming globally, with mounting health emergencies related to a number of chronic conditions like cardiovascular disease, diabetes...
BACKGROUND: Accurate estimation of the retinal age, defined as the age predicted from fundus photographs by a deep-learning model trained on chronolog...
BACKGROUND: Preserved ratio impaired spirometry (PRISm), defined by reduced FEV1 with preserved FEV1/FVC ratio, has been linked to cardiometabolic dis...
BACKGROUND: Traditional screening for adolescent depression primarily relies on self-reported symptoms. However, this method is vulnerable to under-re...
BACKGROUND: One of the ways to enhance analyses conducted with large claims databases is by validating the measurement characteristics of the code-bas...
3D Light Detection and Ranging (LiDAR) has gained increasing attention in the field of human motion analysis due to its capability to non-invasively c...
BACKGROUND: Clinical trial enrollment in oncology remains critically low, with fewer than 5% of eligible adults participating, in large part due to th...
BACKGROUND: Gestational diabetes mellitus (GDM) is a prevalent pregnancy complication that can pose numerous adverse health effects on both mothers an...
Prior studies have used traditional trajectory analyses to classify caries progression; however, none have applied machine learning (ML) to predict ca...
The high prevalence of periodontitis has imposed a significant global disease burden. Epidemiologic surveys rely on full-mouth periodontal examination...
BACKGROUND: Albuminuria is a key diagnostic and prognostic biomarker of chronic kidney disease (CKD), associated with adverse cardiovascular and renal...
BACKGROUND: Traditional weight-centered models do not fully capture the biological complexity of obesity. Systems biology offers a new framework by in...
Lateral flow assays (LFAs) have evolved from simple qualitative tools into intelligent, multi-modal analytical platforms that integrate rationally eng...
Periprosthetic joint infections (PJIs) are a serious complication in both primary arthroplasty and revision arthroplasty, posing a major challenge in ...
BACKGROUND: Autism spectrum disorder (ASD) is often underdiagnosed in low- and middle-income countries due to limited specialist access, sociocultural...