Chronic fatigue syndrome (CFS) is a debilitating condition that affects millions of people worldwide.
Currently, there is no definitive diagnostic test for CFS, and patients often have to rely on subjective assessments and the process of elimination to receive a diagnosis.
However, recent studies have shown that AI can help diagnose CFS with high accuracy rates.
Researchers at the University of Oxford developed a blood test that can identify hallmarks of CFS in blood cells with 91% accuracy.
The test is designed to screen for certain cellular markers related to CFS and can differentiate between mild, moderate, and severe CFS patients with 84% accuracy. The study employed Raman spectroscopy and AI to analyze the results.
Another study used AI to analyze vibrations in a single blood cell caused by a laser and observed clear metabolic differences between CFS patients and healthy individuals.
These studies demonstrate the potential of AI in diagnosing CFS and offer hope for many patients who have been struggling with this condition for years.
However, more research is needed to develop a standard test and treatment options for CFS.
These studies demonstrate the potential of AI in diagnosing CFS and offer hope for many patients who have been struggling with this condition for years. However, more research is needed to develop a standard test and treatment options for CFS.
If you care about high blood pressure, please read studies about potatoes and high blood pressure, and top 10 choices for a blood pressure-friendly diet
For more information about high blood pressure, please see recent studies about impact of vitamins on high blood pressure you need to know, and the powerful link between high blood pressure and a potassium-rich diet.
The research findings can be found in Scientific Reports.
Copyright © 2023 Knowridge Science Report. All rights reserved.
