Researchers have unveiled an interpretable, lightweight AI text detection framework using classical machine learning models that achieves near-perfect accuracy while lowering computational costs.
Researchers conducted a systematic review to assess the risk of bias and applicability of prediction models for fear of recurrence in patients with cancer.
Centrilobular emphysema (CLE) is independently associated with the progression of coronary artery calcification (CAC) over time.
Background: Prematurity remains a major contributor to neonatal mortality worldwide, particularly in resource-limited ...
Twelve of 15 district students earned recognition at the statewide competition in Lakeland, with two 8th-graders capturing ...
New findings from a DETOUR2 substudy show that minimally invasive percutaneous transmural arterial bypass (PTAB) may offer a ...
NHANES biomonitoring (2003–2018) linked serum PFAS measures to self-reported physician-diagnosed NMSC using adjusted logistic ...
Background Patients who consult their GP about psychological complaints, such as feeling anxious or depressed, are often ...
Background To investigate prevalence and risk factors of epiretinal membrane (ERM), particularly those associated with ERM ...
A nationwide analysis of provider-verified NIS-Child data from 2010 to 2023 found that US childhood vaccination coverage ...
MP0632 nominated as first logic-gated Switch-DARPin T cell engager candidate for the treatment of MSLN/EpCAM expressing solid tumors, with ...
Experts warn that teenage pregnancy surge threatens progress on maternal health, education and economic empowerment goals.
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