BioMapAI identifies new biological markers that help detect ME/CFS with 90% accuracy.
BioMapAI identifies new biological markers that help detect ME/CFS with 90% accuracy.
A new artificial intelligence tool, BioMapAI, is giving researchers a clearer picture of myalgic encephalomyelitis/chronic fatigue syndrome, or ME/CFS, by mapping the hidden biology behind the pain, dizziness, and exhaustion of the condition.
The tool was developed by scientists at the Jackson Laboratory and Duke University School of Medicine and could lead to better diagnosis and treatment of a disease that has long been misunderstood, misdiagnosed, and, for many, dismissed.
Trained on four years of biological and clinical data from 249 people, BioMapAI can identify ME/CFS with 90% accuracy by analyzing stool, blood, and other routine lab tests, according to results published July 25 in Nature Medicine.
Read More: Duke University
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