The technique could enable restoration efforts and doesn’t require labor-intensive onsite sampling.

Test that measures a person’s antibodies requires a drop of blood and takes just 10 minutes to show results.

An anomaly-detection model developed by SMART utilizes machine learning to quickly detect microbial contamination.

The Raman spectroscopy-based method enables early detection and quantification of pathogens in plants, to enhance plant disease management.

SMART nanosensors are safer and less tedious than existing techniques for testing plants’ response to compounds such as herbicides.