University of Utah Researchers Develop Explainable AI Toolkit to Predict Disease Before Symptoms Appear
Peer-Reviewed Publication
Updates every hour. Last Updated: 13-Sep-2025 04:11 ET (13-Sep-2025 08:11 GMT/UTC)
Imagine trying to tell identical twins apart just by looking at their fingerprints. That’s how challenging it can be for scientists to distinguish the tiny powdery pollen grains produced by fir, spruce and pine trees. But a new artificial intelligence system developed by researchers at The University of Texas at Arlington, the University of Nevada and Virginia Tech is making that task a lot easier—and potentially bringing big relief to allergy sufferers.
MIT researchers made a technique that improves the trustworthiness of machine-learning models, which could help improve the accuracy and reliability of AI predictions for high-stakes settings such health care.