Latest AI and machine learning research in diabetes for healthcare professionals.
OBJECTIVE: To determine whether nailfold capillary images, acquired using video capillaroscopy, can ...
A high sugar concentration is used as a starting condition in alcoholic fermentation by budding yeas...
Metabolic flux augmentation via glucose transport activation may be desirable in glucose transporter...
BACKGROUND: The Wireless Innovation for Seniors with Diabetes Mellitus (WISDM) study demonstrated co...
The application of multiple omics technologies in biomedical cohorts has the potential to reveal pat...
Retinopathy of prematurity is an ophthalmic disease with a very high blindness rate. With its increa...
The availability of large amounts of data from continuous glucose monitoring (CGM), together with th...
BACKGROUND: Real-world studies of people with type 2 diabetes (T2D) have shown insufficient dose adj...
A 50-year-old man with muscle-invasive bladder cancer was scheduled for a robotic radical cystectomy...
BACKGROUND: Diabetic foot ulcer (DFU) and the resulting lower extremity amputation are associated wi...
In this work, the photoacoustic (PA) quantitative measurement of blood glucose concentration (BGC) i...
BACKGROUND & AIM: Diabetes mellitus has become one of the out brakes causing major health issues in ...
Colorimetric paper sensors are used in various fields due to their convenience and intuitive manner....
Nonalcoholic fatty liver disease (NAFLD) is one of the most common causes of chronic liver disease i...
BACKGROUND: Opportunely screening for diabetes is crucial to reduce its related morbidity, mortality...
Sensing biomarkers in exhaled breath offers a potentially portable, cost-effective, and noninvasive ...
AIM: The aim of this review is to examine the effectiveness of artificial intelligence in predicting...
Wound classification is an essential step of wound diagnosis. An efficient classifier can assist wou...
Nonenzymatic biosensors hold great potential in the field of analysis and detection due to long-term...
The prevalence of diabetes has been increasing in recent years, and previous research has found that...
BACKGROUND: This quality improvement study, entitled Avatar-Based LEarning for Diabetes Optimal Cont...