Results 151 to 160 of about 27,244 (246)
Relationship Between HbA1c Level and Peripheral Arterial Disease [PDF]
Paul Muntner+5 more
openalex +1 more source
scRiskCell is an interpretable intelligent computational framework that leverages nearly 500,000 islet cell expression profiles from 106 donors across different continuous disease states. By calculating the intrinsic relationship between donor disease states and cell expression profiles, it assigns a pseudo‐cell state index to each cell.
Xueqin Xie+7 more
wiley +1 more source
Mean HbA1c over 18 years predicts carotid intima media thickness in women with type 1 diabetes [PDF]
Julie Rask Larsen+6 more
openalex +1 more source
Novel biomarker emergence plays a critical role in improving CHB management. Advances in sensitive detection methods, AI, and large‐scale data platforms have independently contributed to biomarkers while driving the development of multi‐omics approaches.
Yaru Shi, Rong Fan
wiley +1 more source
Reply to comment on: McClung JA, Naseer N, Saleem M et al. (2005) Circulating endothelial cells are elevated in patients with type 2 diabetes mellitus independently of HbA1c. Diabetologia 48:345–350 [PDF]
John A. McClung+6 more
openalex +1 more source
Flowchart of the clinical workflow. ABSTRACT Objective This study was to investigate the correlation between plasma nerve growth factor (NGF) and postoperative range of motion (ROM) in patients with rotator cuff tears (RCT). Methods From January 2022 to March 2024, a total of 135 patients with degenerative RCT were included.
ZengXin Li+5 more
wiley +1 more source
Mitochondrial tRNAGlu 14687A>G May Be A Novel Mutation for Type 2 Diabetes Mellitus
We identified a novel mitochondrial tRNAGlu 14687A>G mutation in a Han Chinese pedigree with diabetes; the m.14687A>G mutation occurred at a conserved nucleotide of tRNAGlu, which was important for tRNA structure and function. Using a cybrid cell model, we found that mutant cells exhibited much more severe mitochondrial dysfunctions than control cells,
Xiaojuan Rao+3 more
wiley +1 more source
Age Estimation From Blood Test Results Using a Random Forest Model
From the perspective of preventive medicine, it is essential to clarify the relationship between medical examination data and aging and health problems. We successfully and accurately estimated age from clinical examination data using a random forest model. Postmenopausal women tended to have higher age estimates than premenopausal women.
Satomi Kodera+5 more
wiley +1 more source