Dr. Howard Smith Oncall

Vidcast:  https://www.instagram.com/p/CxLmD6OxDu2/ A novel test pairing a laser spectroscopic cell analysis with artificial intelligence capably distinguishes individuals with myalgic encephalomyelitis/chronic fatigue syndrome, ME/CFS, from healthy persons in 91% of cases.  British researchers at the University of Oxford studied 61 ME/CFS patients comparing them with 37 healthy controls.  After a blood draw, the mononuclear cells of each were studied using single cell Raman spectroscopy to quantitate levels of the amino acids, lipids, cholesterol, glycogen, and glucose within the cells.  Number crunching using linear discriminant analysis clearly distinguished ME/CFS patients from normals as well as sorting the ME/CFS patients into those with mild, moderate, and severe disease in 84% of cases. For years, the high variability of ME/CFS symptoms led some clinicians to be skeptical about the existence of this disorder.  Most medical teams now accept the existence of myalgic encephalomyelitis/chronic fatigue s