New hope for early pancreatic cancer intervention via AI-based risk prediction
MIT CSAIL researchers develop advanced machine-learning models that outperform current methods in detecting pancreatic ductal adenocarcinoma.
MIT CSAIL researchers develop advanced machine-learning models that outperform current methods in detecting pancreatic ductal adenocarcinoma.
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.
MIT professor combines nanoscience and viruses to develop solutions in energy, environment, and medicine.
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.
The device detects the same molecules that cell receptors do, and may enable routine early screening for cancers and other diseases.
The new diagnostic, which is based on analysis of urine samples, could also be designed to reveal whether a tumor has metastasized.
The sensor sends out its location as it moves through the GI tract, revealing where slowdowns in digestion may occur.
MIT Open Learning team awarded NIH grant to provide training in biomedical product development, entrepreneurship, and innovation.
Deep-learning model takes a personalized approach to assessing each patient’s risk of lung cancer based on CT scans.
By analyzing enzyme activity at the organism, tissue, and cellular scales, new sensors could provide new tools to clinicians and cancer researchers.
The paper test measures the level of neutralizing antibodies in a blood sample and could help people decide what protections they should take against infection.