Polygenic risk scores — scores that reflect the influence of common genetic variants — could be used to predict the likelihood of developing chronic overlapping pain conditions and guide biomarker and targeted prevention efforts.
A natural language processing analysis of 407 million tweets from May 2020 to January 2022 captures the rural-urban divide regarding COVID-19.
Algorithms to infer missing problems and suggest that they be added to electronic health records improved problem list completeness, with benefits for clinical care, patient comprehension of health conditions and population health.
Vanderbilt researchers have developed a method for isolating extracellular vesicles and nanoparticles — a complex transport system involved in health and disease — which will improve biomarker discovery and the identification of therapeutic targets.
Computational genetics tools have implicated inflammatory pathways in exfoliation syndrome, the most common cause of secondary glaucoma, which can result in blindness.
Adding blood and imaging biomarkers to a clinical prediction model could improve diagnostic accuracy for the 1.6 million lung nodules detected each year, many through expanded lung cancer screening programs.