SMART researchers develop quick test to determine immunity against Covid-19
Test that measures a person’s antibodies requires a drop of blood and takes just 10 minutes to show results.
Neurodegenerative disease can progress in newly identified patterns
A machine-learning method finds patterns of health decline in ALS, informing future clinical trial designs and mechanism discovery. The technique also extends to Alzheimer’s and Parkinson’s.
Cell Rover: Exploring and augmenting the inner world of the cell
MIT researchers demonstrate an intracellular antenna that's compatible with 3D biological systems and can operate wirelessly inside a living cell.
SMART Innovation Center awarded five-year NRF grant for new deep tech ventures
By providing researchers with financial and strategic support from the early stages, the Innovation Center hopes to bring new and disruptive technologies to market.
Artificial intelligence model can detect Parkinson’s from breathing patterns
An MIT-developed device with the appearance of a Wi-Fi router uses a neural network to discern the presence and severity of one of the fastest-growing neurological diseases in the world.
Engineers fabricate a chip-free, wireless electronic “skin”
The device senses and wirelessly transmits signals related to pulse, sweat, and ultraviolet exposure, without bulky chips or batteries.
Living LEGOs
Mathematical modeling speeds up the process of programming bacterial systems to self-assemble into desired 2D shapes.
Artificial intelligence model finds potential drug molecules a thousand times faster
A geometric deep-learning model is faster and more accurate than state-of-the-art computational models, reducing the chances and costs of drug trial failures.
Researchers pioneer a new way to detect microbial contamination in cell cultures
An anomaly-detection model developed by SMART utilizes machine learning to quickly detect microbial contamination.
At the forefront of building with biology
Ritu Raman leads the Raman Lab, where she creates adaptive biological materials for applications in medicine and machines.
Collin Stultz named co-director and MIT lead of the Harvard-MIT Program in Health Sciences and Technology
MIT professor will leverage his research into machine learning and computer science, as well as his role as a practicing cardiologist, toward educating clinician-scientists and engineers.
SMART researchers enable early-stage detection of microbial contamination in cell therapy
Rapid and accurate analytical test method enhances the production of high-quality cell therapy products.
Convenience-sized RNA editing
MIT neuroscientists expand CRISPR toolkit with new, compact Cas7-11 enzyme.
Reversing hearing loss with regenerative therapy
MIT spinout Frequency Therapeutics’ drug candidate stimulates the growth of hair cells in the inner ear.
An “oracle” for predicting the evolution of gene regulation
Researchers create a mathematical framework to examine the genome and detect signatures of natural selection, deciphering the evolutionary past and future of non-coding DNA.