Latest AI and machine learning research in endocrinology for healthcare professionals.
To address inter-frame motion artifacts in ultrasound quantitative high-definition microvasculature ...
Accurate diabetes risk prediction relies on identifying key features from complex health datasets,...
BACKGROUND: Neuropeptides (NPs) are critical signaling molecules involved in various physiological a...
The global prevalence of diabetes, particularly type 2 diabetes mellitus (T2DM), is rapidly increa...
The COVID-19 pandemic has significantly increased the incidence of post-infection cardiovascular e...
Biliary tract cancer (BTC) is a group of heterogeneous sporadic diseases, including intrahepatic, hi...
Tourette syndrome is a relatively prevalent neurological condition, particularly among children, cha...
Hypoglycemia is a serious complication in individuals with type 2 diabetes mellitus. Identifying who...
While bariatric and metabolic surgery (MBS) is considered the gold standard treatment for severe a...
BACKGROUND: Diabetic oral ulceration (DOU) is a prevalent and debilitating complication among diabet...
. Positron emission tomography with 2-deoxy-2-[fluorine-18]fluoro-D-glucose integrated with computed...
Triple-negative breast cancer (TNBC) is an aggressive subtype defined by the lack of estrogen rece...
Flame retardants (FR) encompass a wide range of chemicals designed to inhibit and reduce the spread ...
Long-term analysis of animal behavior has been limited by reliance on real-time sensors or manual sc...
BACKGROUND: Polycystic ovary syndrome (PCOS) is a common reproductive and metabolic disorder in the ...
Pancreatic cancer is a devasting disease which is an increasing cause of cancer mortality. The aim o...
Diabetes mellitus (DM) is a chronic metabolic disorder that poses significant challenges to public h...
BACKGROUND: Gestational diabetes mellitus (GDM) is one of the most common pregnancy complications an...
Real-time monitoring of sweat using wearable devices faces challenges such as limited adhesion, mech...
Stereotactic radiosurgery (SRS) is a non-invasive technique that is transforming the management of b...
The absence of effective public databases greatly limits high-throughput prediction of hormonal effe...