Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
University Hospitals Seidman Cancer Center researchers have developed a tool that could identify metastatic prostate cancer ...
A new study published in the journal of BMC Women’s Health showed that menstrual abnormalities are significantly increased by ...
AI systems now operate on a very large scale. Modern deep learning models contain billions of parameters and are trained on large datasets. Therefore, they produce strong accuracy. However, their ...
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Expanded school tobacco prevention in California is linked to lower youth vaping and smoking
A statewide evaluation found that California schools receiving TUPE funding delivered more antitobacco education and ...
Objectives The TREAT EARLIER trial showed in clinically suspect arthralgia (CSA) that methotrexate induced reductions in ...
Objectives Cardiovascular diseases (CVDs) are a leading cause of mortality in Nepal. Risk perception is crucial for the prevention of CVD-related behaviours. This study assessed CVD risk perceptions ...
Objective To assess prevalence and associated factors of adverse childhood experiences (ACEs) among patients with severe mood disorders (SMDs). Design An institution-based cross-sectional study.
The ReproSci project retrospectively analyzed the reproducibility of 1006 claims from 400 papers published between 1959 and 2011 in the field of Drosophila immunity. This project attempts to provide a ...
Background Although 90% of youth live in low- and middle-income countries, only 10% of child mental health research is ...
This study uses Population-based HIV Impact Assessments survey data to examine factors associated with gender disparities in ...
The ChatGPT o1 Pro can accurately identify glaucoma from visual field and optical coherence tomography data, a study shows.
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