Latest AI and machine learning research in primary care for healthcare professionals.
The present contribution introduces a novel computational protocol called PyRMD2Dock, which combines...
BACKGROUND: In this article, we present a computerized system for the analysis and assessment of dia...
The current study presents a steadfast, simple, and efficient approach for the non-invasive determin...
Plant health monitoring is crucial in ensuring a constant food supply to satisfy the growing demand ...
SIGNIFICANCE: Diabetes is a prevalent disease worldwide that can cause severe health problems. Accur...
Due to the close relationship of diabetes with hypertension reported in various research, a set of ...
Diabetes mellitus is a chronic metabolic disease, which causes an imbalance in blood glucose homeost...
Spartina alterniflora is a halophyte that can survive in high-salinity environments, and it is phylo...
The transient receptor potential vanilloid 1 (TRPV1) channel belongs to the transient receptor poten...
PURPOSE: Short- and long-term complications of gestational diabetes mellitus (GDM) involving pregnan...
BACKGROUND: Monitoring blood pressure and peripheral capillary oxygen saturation plays a crucial rol...
A medical disorder known as diabetic retinopathy (DR) affects people who suffer from diabetes. Many ...
This study uses artificial intelligence for testing (1) whether the comorbidity of diabetes and its ...
Chronic hepatitis B virus (HBV) infection affects about 262 million people worldwide, leading to ove...
Multi-view learning aims to make use of the advantages of different views to complement each other a...
CONTEXT: Continuous blood pressure (BP) monitoring plays an important role while treating various ca...
Diabetes is a heterogenous, multimorbid disorder with a large variation in manifestations, trajector...
BACKGROUND AND OBJECTIVE: Prostate cancer is one of the most prevalent forms of cancer in men worldw...
The role of NLRP3 inflammasome in innate immunity is newly recognized. The NLRP3 protein is a family...
Deep learning (DL) models can harness electronic health records (EHRs) to predict diseases and extra...
: Robotic surgery has been widely adopted in general surgery worldwide but access to this technology...