Machine Learning

A trans-institutional team of Vanderbilt engineering, data science and clinical researchers has developed a novel approach for monitoring bone stress in recreational and professional athletes, with the goal of anticipating and preventing injury. Using machine learning and biomechanical modeling techniques, the researchers built multisensory algorithms that combine data from lightweight, low-profile wearable sensors in shoes... Read More

Drug-tolerant persister cells–those that survive cancer treatment–found to rely on similar survival mechanisms across cancers, in a groundbreaking study led by Vanderbilt researchers. Read More

A new, $8.7 million project—Design. R–AI-assisted CPS Design—involves pathbreaking work for the Defense Advanced Research Projects Agency as future cyber-physical systems will rely less on human control and more machine learning algorithms and artificial intelligence processors. Read More

Rebecca Ihrie and Jonathan Irish are leading the development of machine learning applications for brain cancer research. Read More

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. Read More

Jonathan Irish joins an international collaboration by deploying artificial intelligence to optimize COVID-19 treatment and vaccine development. Read More

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. Read More

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. Read More

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... Read More

Simulated electronic health records could avoid patient privacy risks and help speed discovery. Read More

Machine learning on unlabeled electronic health record data has shed light on the emergence of cardiovascular disease. Read More

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. Read More

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… Read More

Automated techniques can assist in understanding and managing growing volumes of messages sent through secure patient portals, Vanderbilt researchers found. Read More

Vanderbilt investigators have developed hospital readmission models that may help prevent payment penalties to hospitals when patients are readmitted too soon after discharge. Read More

According to the Centers for Disease Control and Prevention (CDC), in 2013 there were 41,149 suicides in the U.S., making it the 10th leading cause of death that year. Among high school students in 2013, the CDC estimates that over the previous 12 months 2.7 percent had sometime made a suicide attempt resulting in injury, poisoning or overdose that required medical attention. Read More