machine learning

January 2, 2024

Team uses COVID-19 to test automated acute disease profiling

An automated solution for creating phenotyping algorithms, PheNorm, worked well to identify symptomatic COVID-19 cases in electronic health records, suggesting that automation could speed high-throughput phenotyping of acute disease.

By Paul Govern
December 21, 2023

Vanderbilt’s Embí and team awarded AIM-HI grant to improve use and monitoring of AI in health care

A Vanderbilt team has received funding to pursue research projects deploying artificial intelligence (AI) and machine learning (ML) algorithms to enhance diagnostic decision-making in health care.

By Mia Garchitorena-Scancarelli
July 20, 2023

Predicting gene expression may speed discovery: study

Researchers at Vanderbilt University Medical Center and the University of Cambridge have developed a method of or predicting gene expression in hard-to-access tissues like the brain from more accessible tissues, including whole blood.

By Bill Snyder
May 22, 2023

Project aims to improve ear disease diagnoses with objective machine learning techniques

A new project, funded by the National Institutes of Health (NIH), National Institute on Deafness and Other Communication Disorders (NIDCD) and led by Aaron Moberly, MD, and Metin Gurcan, PhD, professor and director of the Center for Biomedical Informatics and the Clinical Image Analysis Lab at Wake Forest University School of Medicine, aims to develop machine learning applications to analyze eardrum videos collected with a digital otoscope.

By Danny Bonvissuto
May 9, 2023

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.

By Leigh MacMillan
April 11, 2023

COVID on Twitter: town vs. country

A natural language processing analysis of 407 million tweets from May 2020 to January 2022 captures the rural-urban divide regarding COVID-19.

By Paul Govern
January 23, 2023

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.
By Paul Govern
December 20, 2022

Vanderbilt’s Walsh elected fellow of ACMI

Vanderbilt’s Colin Walsh, MD, MA, was recently elected to the American College of Medical Informatics (ACMI) class of 2022.
By Mia Garchitorena-Scancarelli
November 21, 2022

Suicide notes

Natural language processing of notes in electronic health records can identify suicidal behavior and could be used to directly improve real-time risk prediction algorithms.
By Paul Govern
September 22, 2022

VUMC to lead AI ethics core for NIH project

Vanderbilt researchers will lead and comprise the greater part of an artificial intelligence research ethics core for a National Institutes of Health (NIH) program called Bridge to Artificial Intelligence, or Bridge2AI.
By Paul Govern
April 7, 2022

Computer eyeballs graft-vs-host disease

A machine learning algorithm identified areas of skin affected by chronic graft-versus-host disease on par with clinicians, opening the door to streamlining and standardizing this measure of patient response to therapy.
By Paul Govern
January 13, 2022

Study seeks to refine head and neck cancer treatment options

By Bill Snyder
November 16, 2021

AI predicts 24-hour hospital discharge

Vanderbilt researchers used a machine learning algorithm and data from more than 26,000 hospital stays to predict who would and would not be discharged over the next 24 hours.
By Paul Govern
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