Artificial intelligence (AI) is emerging as a powerful tool to predict food consumption patterns and guide policy decisions, ...
Researchers use machine learning and genetic analysis to uncover type 1 diabetes risk factors, improving prediction accuracy ...
The study, titled “GenAI-Powered Framework for Reliable Sentiment Labeling in Drug Safety Monitoring,” published in Applied ...
In asset-intensive industries, misclassified parts and inaccurate bills of materials cost far more than storeroom space. AI ...
Background Persistent shockable rhythms (refractory to or recurring after three or more defibrillation attempts) are ...
A new AI tool detects pancreatic cancer up to three years early on routine CT scans, outperforming expert radiologists.
Lessons learned from developing an inferential model for predicting food insecurity yield essential insights and actionable ...
Objectives To examine if early adoption into a family with favourable home environment conditions reduces long term ...
Background To investigate prevalence and risk factors of epiretinal membrane (ERM), particularly those associated with ERM ...
Background Intimate partner violence (IPV) is a major public health challenge in low- and middle-income countries (LMICs).
PET/CT offers excellent accuracy in the staging of high-risk prostate cancer (PCa), yet outcomes-based evidence of the clinical benefit remains limited. We aimed to determine whether the rates of ...
Objective Patients with SLE have increased risk of both clinical cardiovascular disease (CVD) and subclinical atherosclerosis ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results