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machine learning Archives

Predicting gene expression may speed discovery: study

Jul. 20, 2023—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.

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

May. 22, 2023—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.

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Neural networks probe proteins

May. 9, 2023—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.

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COVID on Twitter: town vs. country

Apr. 11, 2023—A natural language processing analysis of 407 million tweets from May 2020 to January 2022 captures the rural-urban divide regarding COVID-19.

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Machine learning predicts delirium

Jan. 23, 2023—Using machine learning based on electronic health records of ICU patients predicted new-onset delirium with 82% sensitivity, Vanderbilt researchers found.

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Vanderbilt’s Walsh elected fellow of ACMI

Dec. 20, 2022—Vanderbilt’s Colin Walsh, MD, MA, was recently elected to the American College of Medical Informatics (ACMI) class of 2022.

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Suicide notes

Nov. 21, 2022—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.

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VUMC to lead AI ethics core for NIH project

Sep. 22, 2022—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.

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Computer eyeballs graft-vs-host disease

Apr. 7, 2022—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.

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Study seeks to refine head and neck cancer treatment options

Jan. 13, 2022—  by Bill Snyder Researchers at Case Western Reserve University and Vanderbilt University Medical Center are pioneering the use of computer-aided image analysis to improve the prognostication and treatment of head and neck cancer. Each year in the United States, approximately 16,000 patients are diagnosed with a form of head-and-neck cancer called oropharyngeal squamous cell...

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AI predicts 24-hour hospital discharge

Nov. 16, 2021—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.

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Initiative seeks to improve diversity of AI research

Oct. 21, 2021—Vanderbilt is playing a key role in a new NIH flagship initiative, the Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity.

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