A structured educational workshop utilizing lectures and anatomical models significantly improved breast cancer knowledge and screening awareness among undergraduate nursing ...
An explanatory sequential mixed methods study in Quito, Ecuador, found that lower self-efficacy was significantly associated with a lower probability ...
A pilot study in Germany found that volunteer dog-handler teams successfully located invasive plant species in the wild with an ...
A narrative review of 23 studies finds that AI and machine learning tools show promise for early eating disorder detection, ...
Hoag researchers identified a blood signal for STIC, a microscopic precursor to ovarian cancer, potentially enabling detection years before a ...
A systematic review of 62 studies finds no single machine learning algorithm consistently best for early Alzheimer's detection, with very ...
The National Multiple Sclerosis Society has launched a funding opportunity to support scalable screening technologies that advance earlier detection of ...
A 30-year single-center study of 38,050 Korean breast cancer patients found that symptomatic presentation independently predicted a 44% higher recurrence ...
A cfMeDIP-seq machine-learning model combining methylation and methylated fragment features distinguished 25 breast cancer patients from 110 healthy controls with ...
A US qualitative study found caregivers, clinicians, and autistic adults expressed cautious optimism about AI-based autism prediction models while flagging ...
The TOSYMA trial of nearly 100,000 women found that digital breast tomosynthesis reduced invasive interval breast cancers by 29 percent ...
An open-access article in Drugs & Therapy Perspectives outlines a three-step approach to preventing chronic kidney disease and its complications ...
A systematic review of 32 peer-reviewed studies finds that AI and IoT technologies show promise for COPD detection, exacerbation prediction ...
A model-based economic evaluation of Egypt's national breast cancer screening program estimates greater health outcomes at lower societal cost than ...
A new EJNMMI Reports commentary synthesizes a landmark article collection showing how PET tracers, SPECT/CT, artificial intelligence and whole-body imaging ...
A prospective observational study found that plasma pTau181 measured with the Elecsys Phospho-Tau (181P) immunoassay remained stable across varied sample ...
A new review finds that nanoscale optical biosensors can detect cancer biomarkers at attomolar levels, but only a few platforms ...
A scoping review of 28 studies finds inconsistent definitions of late chronic kidney disease presentation and only one intervention study ...
A new study reports that a transparent, feature-based framework can detect rumors on social media with accuracy close to that ...
Machine learning models using routine health data showed potential to identify people at higher risk of several common cancers, with ...
