A machine learning method based on neural networks outperformed a mutational scanning model at identifying disease-causing mutations in an Alzheimer’s disease protein, suggesting the method could be useful for facilitating therapeutic design.
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.
Computational genetics tools have implicated inflammatory pathways in exfoliation syndrome, the most common cause of secondary glaucoma, which can result in blindness.
Vanderbilt researchers have developed a framework for the analysis of multiancestry, large-scale genomic studies across multiple biobanks.
Using a high-throughput informatics technique and electronic health records, Vanderbilt researchers found that COVID-19 survivors had an increased risk for more than 40 new diagnoses.
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