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Hundreds of thousands affected by myalgic encephalomyelitis/continual fatigue syndrome (ME/CFS), a debilitating situation steadily overpassed because of the loss of diagnostic equipment, could also be nearer to personalised care, in keeping with new analysis that presentations how the illness disrupts interactions between the microbiome, immune gadget, and metabolism.
The findings—probably related to lengthy COVID because of its similarity with ME/CFS—come from information on 249 people analyzed the use of a brand new synthetic intelligence (AI) platform that identifies illness biomarkers from stool, blood, and different regimen lab checks.
“Our study achieved 90% accuracy in distinguishing individuals with chronic fatigue syndrome, which is significant because doctors currently lack reliable biomarkers for diagnosis,” stated learn about writer Dr. Derya Unutmaz, Professor of immunology at The Jackson Laboratory (JAX).
“Some physicians doubt it as a real disease due to the absence of clear laboratory markers, sometimes attributing it to psychological factors.”
The analysis used to be led through Dr. Julia Oh, previously at JAX and now a microbiologist and professor at Duke College, in collaboration with ME/CFS clinicians Lucinda Bateman and Suzanne Vernon of the Bateman Horne Heart, and Unutmaz, who directs the JAX ME/CFS Collaborative Analysis Heart.
Main points seem in Nature Medication.
Mapping the…
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Publish date : 2025-07-25 09:40:00
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