By ditching expensive gene sequencing for a simpler neural network and qPCR setup, researchers may have found a way to make early cancer screening practical for local clinics.
A new machine learning pipeline proves that algorithms can label millions of breathing mismatches without losing accuracy, bypassing the human expert bottleneck in intensive care.
A smartphone camera might soon replace the physical throat swab, shifting the front line of infectious disease diagnosis from the clinic to the palm of your hand.
A new machine learning workflow cuts the detection time for superbugs from days to sixty minutes, shifting the battle against drug-resistant hospital infections.
Standard radiation therapy treats every brain tumor margin the same way, but deep learning reveals that tumor geometry and location dictate how cancer spreads.
A new clinical trial shows that real-time computer vision can guide neurosurgeons through high-stakes brain procedures, but early software bugs prove the clinic is still a messy testing ground.