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Cornell researchers have identified the signaling mechanism that triggers steroid-induced glaucoma by creating a 3D “eye-on-a-chip” platform that mimics the flow of ocular fluids.
Researchers developed machine-learning models that can sift through cell-free RNA and identify key biomarkers for chronic fatigue syndrome, a debilitating disease that is difficult to confirm in patients because its symptoms can be easily confused with those of other illnesses.