Negative Controls Reveal Hidden Biases in Real-World Vaccine Effectiveness Studies
A PEDSnet study of adolescents shows that negative control outcomes used to detect bias in vaccine effectiveness studies are only ...
A PEDSnet study of adolescents shows that negative control outcomes used to detect bias in vaccine effectiveness studies are only ...
Researchers in China have developed MKMed, a cross-modal AI framework that aligns five types of drug knowledge to overcome the ...
A large real-world analysis of TriNetX health records finds that mirvetuximab soravtansine carries elevated risks of corneal toxicity and peripheral ...
A large retrospective analysis of intensive care records finds that adults with alcohol use disorder face significantly higher odds of ...
A study of over two million hospital admissions in China shows that mapping chronic diseases as a network predicts length ...
Researchers in Shanghai developed a time-dependent Cox regression model that predicts which prediabetic patients will develop chronic kidney disease, achieving ...
A Stanford-led team trained supervised machine learning models on nationally representative EHR-like survey data to identify people with untreated alcohol, ...
A text-mining algorithm developed across five French hospitals classified sickle cell disease subtypes from hundreds of thousands of clinical reports ...
Thomas Jefferson University researchers found that women in a lung cancer screening program with the greatest smoking and cancer histories ...
A Wake Forest study of hundreds of women's medical records finds that enlarged breast tissue is associated with significantly higher ...
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© 2025 Scienmag - Science Magazine