Can AI Reduce Overdiagnosis of Thyroid Cancer?
Thyroid cancer is common, but many cases — up to 77% — are believed to be over diagnosed.
Why Do Vaccines Wear Off?
Duke University School of Medicine researchers have proposed a new statistical approach to improve how scientists and policy makers use health record data to guide decisions, such as when it's time for a booster shot.
‘Evaluation cannot be afterward’: Duke Health develops framework to evaluate AI use in care
Although it aims to use AI to advance health care, two Duke Health researchers see it as a tool that requires careful evaluation and thoughtful oversight.
New AI Method Excels at Predicting Disease Risk from Clinical Notes
Matthew Engelhard, PhD, and PhD student Fengnan Li have developed a new natural language processing method that takes on the challenge of finding important details scattered throughout long documents.
With $15 Million Grant, Duke Team Expands AI Tool to Predict Teen Mental Illness
The project, co-led by Matthew Engelhard, PhD, assistant professor of biostatistics and bioinformatics, aims to bring early mental health screening to clinics where access to care is limited.
AI in the Classroom
B&B faculty Matthew Engelhard, PhD, and David Carlson, PhD, discussed a Duke pilot project on the use of artificial intelligence in classrooms in this article by the Associated Press.
Jessilyn Dunn Receives IEEE EMBS Early Career Achievement Award
Dunn was recognized for her work to use wearable technologies like smartwatches to identify digital biomarkers for disease.
A Smart Sensor for Your Muscles and Tissues
Xiaoyue Ni, PhD, who has a secondary appointment in the Department of Biostatistics and Bioinformatics, led engineers in developing new wearable technology that provides real-time medical and athletic insights.
CBB Faculty Member Explores Renewable Energy
David Beratan, PhD, who teaches in the computational biology and bioinformatics program, is one of four Duke chemists exploring promising new directions in renewable energy research.
Can Electronic Health Records Reveal Early Signs of Autism?
Duke researchers, including Ben Goldstein, PhD, are collaborating on a new project that uses machine learning to recognize patterns in electronic health record data associated with children who are later diagnosed with autism.