Latest AI and machine learning research in primary care for healthcare professionals.
Abnormalities in pupillary light reflex can indicate optic nerve disorders that may lead to permanen...
BACKGROUND: The American Indian (AI) population experiences significant diet-related health disparit...
Background Recent deep learning (DL) approaches have shown promise in improving sensitivity but have...
A preventive measure for debonding has not been established and is highly desirable to improve the s...
A major challenge in cancer treatment is predicting the clinical response to anti-cancer drugs on a ...
Hypoglycemia or low blood glucose is the most feared complication of insulin treatment of diabetes. ...
BACKGROUND: Although complex machine learning models are commonly outperforming the traditional simp...
Diabetic retinopathy (DR) is an eye disease that victimize the people suffering from diabetes from m...
Efficient identification of chemical probes for the manipulation and understanding of biological sys...
BACKGROUND: Diabetes mellitus (DM) is a metabolic disorder that causes abnormal blood glucose (BG) r...
Type 2 diabetes mellitus (T2DM) has become a prevalent health problem in China, especially in urban ...
Learning-to-rank, which is a machine-learning technique for information retrieval, was recently intr...
Diabetes is a globally prevalent disease that can cause visible microvascular complications such as ...
Molecular dynamics simulations provide valuable insights into the behavior of molecular systems. Ext...
Toxic misfolded proteins potentially underly many neurodegenerative diseases, but individual targets...
BACKGROUND: Insulin resistance is an early-stage deterioration of Type 2 diabetes. Identification an...
PURPOSE: Reducing dose level to achieve ALARA is an important task in diagnostic and therapeutic app...
The digital revolution is disrupting the ways in which health research is conducted, and subsequentl...
PURPOSE: To identify novel biomarkers of IgA nephropathy (IgAN) through bioinformatics analysis and ...
According to diagnostic criteria, skin tumors can be divided into three categories: benign, low degr...
BACKGROUND AND AIMS: Few artificial intelligence-based technologies have been developed to improve t...