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machine learning

Discovery of aggressive cancer cell types by Vanderbilt researchers made possible with machine learning techniques

Jun. 24, 2020—Rebecca Ihrie and Jonathan Irish are leading the development of machine learning applications for brain cancer research.

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$3.3 million project aims to transform grid management with risk metrics for renewables

Jun. 17, 2020—The goal of the project—Risk-Aware Market Clearing—is a blueprint for an end-to-end, data-driven approach that balances cost and minimizes system-level risk. Market clearing is the process that keeps the supply level to the demand with no leftover of either.

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Artificial intelligence offers a chance to optimize COVID-19 treatment in international partnership

May. 29, 2020—Jonathan Irish joins an international collaboration by deploying artificial intelligence to optimize COVID-19 treatment and vaccine development.

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Yin receives early investigator MERIT Award from NCI

May. 14, 2020—Zhijun Yin, PhD, assistant professor of Biomedical Informatics at Vanderbilt University Medical Center, has received the National Cancer Institute’s Method to Extend Research in Time Award (or MERIT Award) for Early Stage Investigators.

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Vanderbilt engineers mine EMRs and clinical journals for novel disease associations and new research paths

Feb. 18, 2020—A new tool developed by Vanderbilt engineers, in collaboration with clinical and informatic experts, can unearth novel co-morbidities from routinely collected, anonymized electronic medical records.

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How to fake a medical record in order to mitigate privacy risks

Nov. 4, 2019—In machine learning, generative adversarial networks (GANs) involve two artificial neural networks squaring off, one, the generator, trying to delude the other, the discriminator, into accepting synthetic data as real. Beyond their science and engineering applications, GANs can generate utterly convincing “photographs” of people who do not exist. Unrestricted use on a wide scale of...

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How to fake a medical record

Nov. 4, 2019—Simulated electronic health records could avoid patient privacy risks and help speed discovery.

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AI maps routes to heart disease

Oct. 7, 2019—Machine learning on unlabeled electronic health record data has shed light on the emergence of cardiovascular disease.

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Ultrasound helmet would make live images, brain-machine interface possible

May. 8, 2018—Vanderbilt professor Brett Byram plans to use a grant from the National Science Foundation to utilize machine learning for the delivery of better real-time brain images, an advance decades in the making.

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Registration open for the 2018 Center for Quantitative Sciences Summer Institute

Apr. 19, 2018—Registration is now open for the Center for Quantitative Sciences Summer Institute. Take your quantitative research perspectives, methods and tools to the next level with four weeklong courses designed to offer hands-on learning in biostatistics and bioinformatics. Space is limited, so sign up today. The courses will be offered in August, before the beginning of...

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Sorting patient messages automatically

Dec. 20, 2017—Automated techniques can assist in understanding and managing growing volumes of messages sent through secure patient portals, Vanderbilt researchers found.

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Risky business

Apr. 5, 2017—Vanderbilt investigators have developed hospital readmission models that may help prevent payment penalties to hospitals when patients are readmitted too soon after discharge.

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