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New RNA Technique Promises Accurate ME/CFS Diagnosis

8/12/2025

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Summary

Story summary

Cornell University researchers have unveiled a groundbreaking technique that harnesses circulating cell-free RNA (cfRNA) signatures in blood plasma to diagnose myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). By leveraging machine learning, they’ve identified unique cfRNA patterns, achieving an impressive 77% accuracy in differentiating ME/CFS patients from healthy individuals—offering hope for improved diagnostics in this challenging condition.

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Story summary

Cornell University researchers have unveiled a groundbreaking technique that harnesses circulating cell-free RNA (cfRNA) signatures in blood plasma to diagnose myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). By leveraging machine learning, they’ve identified unique cfRNA patterns, achieving an impressive 77% accuracy in differentiating ME/CFS patients from healthy individuals—offering hope for improved diagnostics in this challenging condition.