Results 91 to 100 of about 158,235 (216)
The Human Biomarker Navigator integrates the disease continuum, biomarker dynamics, cross‐organ biomarker networks, biomarker classification, and technology‐driven paradigms. It maps how biomarkers link multi‐system physiology and pathology across the nervous, respiratory, endocrine, circulatory, immune, digestive, urinary, reproductive, and ...
Meng‐Yao Li +29 more
wiley +1 more source
Background and Aims Bangladesh is experiencing a rapid rise in the prevalence of diabetes mellitus (DM), imposing a significant public health challenge. Identifying the predictors of glycemic control can inform targeted intervention.
Arun Kumar Karmakar +3 more
doaj +1 more source
Multi‐omics–driven precision medicine
Multi‐omics‐driven precision medicine (MODPM) provides a multiscale, continuously learnable framework that integrates genomics, epigenomics, transcriptomics, proteomics, metabolomics, microbiome profiles, and clinical data. Powered by artificial intelligence and foundation models, MODPM enables cross‐modal representation learning, contextual modeling ...
Huibo Li +20 more
wiley +1 more source
ABSTRACT The global incidence of intestinal diseases—including food allergy, inflammatory bowel disease (IBD), and colorectal cancer (CRC)—continues to escalate in parallel with the expansion of the “Western diet,” within which the high‐sugar diet (HSD) has emerged as a pivotal yet under‐recognized dietary driver.
Yuchen Wang +9 more
wiley +1 more source
Research Progress of Berberine in Kidney Disease: Targeting Mitochondria and Ferroptosis
This figure illustrates the model‐specific renoprotective mechanisms of berberine (BBR) across three major kidney diseases. From left to right, the diagram shows that BBR targets distinct core pathways depending on the pathological context: in diabetic nephropathy (DN), BBR activates AMPK to improve mitochondrial energy metabolism; in acute kidney ...
Liuqing Wang +3 more
wiley +1 more source
A sparse‐aware GRU model accurately predicts blood glucose levels using downsampled and limited data, achieving clinically safe forecasts even under low‐monitoring conditions. By effectively capturing glucose dynamics through residual learning, the model supports personalized diabetes self‐management, offering a practical solution for resource‐limited ...
Genet Tadese Aboye +3 more
wiley +1 more source
Abstract Menstrual cycle tracking remains challenged by the limited physiological scope and inconsistent generalizability of existing wearable‐based approaches, which often rely on individual sensing modalities that incompletely capture the complexity of menstrual physiology.
Ejay Nsugbe, Georgianna Lin
wiley +1 more source
ABSTRACT Background Epicardial adipose tissue (EAT) is a metabolically active fat depot associated with cardiovascular risk and represents a modifiable imaging biomarker. Studies have shown that sodium–glucose cotransporter‐2 (SGLT2) inhibitors reduce EAT thickness in patients with type 2 diabetes mellitus (T2DM). However, it is unclear whether this is
Min Jae Cha +9 more
wiley +1 more source
Cognition, Fasting Glucose, Glycemic Control, Glycemic Index, Type 1 Diabetes.
In this case report, we share our experience of complication with use of intra-abdominal polypropylene sutures. The patient presented with intestinal obstruction resulting from the herniation of small intestine through the polypropylene suture loop due ...
Umar Bashir , Afsheen Zafar
doaj
Abstract Background This study aimed to perform a prediction model validation for furcation involvement (FI) risk in molars receiving a new fixed prosthesis (FP) using a unique cohort assessed at three time points. Methods Following the Oral Health Statistical (OHStat) reporting guidelines, this cohort study examined 181 patients (203 molars) from 2018–
Khushboo Kalani +5 more
wiley +1 more source

