Using deep convolutional neural networks, researchers devise a system that quickly analyzes wide-field images of patients’ skin in order to more efficiently detect cancer.
Regina Barzilay, Fotini Christia, and Collin Stultz describe how artificial intelligence and machine learning can support fairness, personalization, and inclusiveness in health care.
Five courses celebrate the nanoscale, highlight technologies in photogrammetry and 360-degree videography.
Student committee delivers interactive conference on microsystems and nanoscience.
Researchers created a risk-assessment algorithm that shows consistent performance across datasets from US, Europe, and Asia.
Facility within MIT.nano offers equipment and capabilities for visualizing data, creating immersive environments.
Faculty members recognized for excellence via a diverse array of honors, grants, and prizes over the past two quarters.
A diverse group of researchers is working to turn new discoveries about the trillions of microbes in the body into treatments for a range of diseases.
Unbiased, high-throughput analysis pipeline improves utility of “minibrains” for understanding development and diseases such as Zika infection.