MIT chemists develop a wireless electronic lateral flow assay test for biosensing
Design from the Swager Lab uses electronic polymers, rather than colored lines, to indicate a positive response, enabling quantitative monitoring of biomarkers.
Design from the Swager Lab uses electronic polymers, rather than colored lines, to indicate a positive response, enabling quantitative monitoring of biomarkers.
New research showcases a pilot application using seismometers to monitor groundwater aquifers in California.
By tracking feedback during tasks, the anterior cingulate cortex notices when a new step has become necessary and signals the motor cortex to adjust.
Photonics community gathers to further develop open-source software for electromagnetic simulations spanning a broad range of applications.
Mathematical modeling speeds up the process of programming bacterial systems to self-assemble into desired 2D shapes.
The computational structural biology researcher continues to serve the department and the MIT life sciences community.
Prokaryotes can detect hallmark viral proteins and trigger cell death through a process seen across all domains of life.
The peptide is used by legumes to control nitrogen-fixing bacteria; it may also offer leads for treating patients with too much heme in their blood.
The faculty members will work together to advance the cross-cutting initiative of the MIT Schwarzman College of Computing.
A breakdown of lipid metabolism in these brain cells promotes inflammation and interferes with neuron activity, a new study finds.
Using organoids to model early development, researchers used an emerging microscopy technology to see that new neurons struggled to reach their developmental destination.
Researchers use machine learning to automatically solve, explain, and generate university-level math problems at a human level.
The chemistry professor embraces the most challenging moments of her work to design molecules for quantum information science.
To ensure a quick halt, brain circuit architecture avoids a slow process of integration in favor of quicker differentiation, study finds.
Neuroscience professor and Science Hub investigator Ted Adelson explains how simulating the sense of touch with a camera can make robots smarter.