NIA

Neural networks probe proteins

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.

Genetics and chronic pain

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.

Treating delirium detected in the ED

Higher intensity physical or occupational therapy may be a useful intervention to shorten delirium duration in older hospitalized adults, Vanderbilt researchers recently reported.

How arterial “stiffness” may impair cognition

New findings from Vanderbilt neurologists suggest that cardiovascular disease may increase the spaces surrounding blood vessels in the brain and lead to cognitive decline.

Machine learning predicts delirium

Using machine learning based on electronic health records of ICU patients predicted new-onset delirium with 82% sensitivity, Vanderbilt researchers found.

Researchers develop framework for multiancestry genomic studies

Vanderbilt researchers have developed a framework for the analysis of multiancestry, large-scale genomic studies across multiple biobanks.

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