MIT News
•86% Informative
MIT 's new diagnostic is based on nanosensors that can be delivered by an inhaler or a nebulizer.
If the sensors encounter cancer-linked proteins in the lungs, they produce a signal that accumulates in the urine.
This approach could replace or supplement the current gold standard for diagnosing lung cancer.
It could have an especially significant impact in low- and middle-income countries.
A machine-learning algorithm identified a combination of four sensors that was predicted to give accurate diagnostic results.
They then tested that combination in the mouse model and found it could accurately detect early-stage lung tumors.
The researchers now plan to analyze human biopsy samples to see if the sensor panels they are using would also work to detect human cancers.
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