The low-cost hardware outperforms state-of-the-art versions and could someday enable an affordable, in-home device for health monitoring.

A new microscopy technique that enables high-resolution imaging could one day help doctors diagnose and treat brain tumors.

MIT CSAIL researchers develop advanced machine-learning models that outperform current methods in detecting pancreatic ductal adenocarcinoma.

The advance makes it easier to detect circulating tumor DNA in blood samples, which could enable earlier cancer diagnosis and help guide treatment.

The diagnostic, which requires only a simple urine test to read the results, could make lung cancer screening more accessible worldwide.

A new MIT study identifies six systemic factors contributing to patient hazards in laboratory diagnostics tests.

Lightweight and inexpensive, miniaturized mass filters are a key step toward portable mass spectrometers that could identify unknown chemicals in remote settings.

The one-step fabrication process rapidly produces miniature chemical reactors that could be used to detect diseases or analyze substances.

The new sensor measures heart and breathing rate from patients with sleep apnea and could also be used to monitor people at risk of opioid overdose.

The findings point to faster way to detect bacteria in food, water, and clinical samples.