Tag Archives: machine learning

Biomarker research: Differentiating ME and FM

Differentiating ME and FM   Canadian researchers believe they have uncovered a way to tell the difference between people with ME, FM and both ME + FM. 11 miRNAs (microRNAs) are proposed as potential biomarkers. microRNA is the name of … Continue reading

Posted in News | Tagged , , , , , , , , , , , , , , | Comments Off on Biomarker research: Differentiating ME and FM

Doctors use more negative language about ME/CFS online than other illnesses

Doctors’ attitudes to medical conditions   On an online medical forum physicians were found to discuss ME/CFS, depression and Lyme disease with more negative language than 21 other diseases. The results for ME/CFS included over 4 times more negative words … Continue reading

Posted in News | Tagged , , , , , | 1 Comment

Research: Understanding the molecular changes of PEM in ME/CFS

Understanding the molecular changes of Post Exertional Malaise in ME/CFS,  by Jemma Elley (Thesis, Bachelor of Biomedical Sciences with Honours). University of Otago, 2021   Research abstract: Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a debilitating and often life-long condition affecting … Continue reading

Posted in News | Tagged , , , , , , , , , , , , , , | Comments Off on Research: Understanding the molecular changes of PEM in ME/CFS

Machine Learning detects pattern of differences in fMRI data between CFS & Gulf War Illness

Machine Learning detects pattern of differences in Functional Magnetic Resonance Imaging (fMRI) data between Chronic Fatigue Syndrome (CFS) and Gulf War Illness (GWI), by Destie Provenzano, Stuart D Washington, Yuan J Rao, Murray Loew and James Baraniuk in Brain Sci. … Continue reading

Posted in News | Tagged , , , , , , , , , , | Comments Off on Machine Learning detects pattern of differences in fMRI data between CFS & Gulf War Illness

A machine learning approach to the differentiation of fMRI data of CFS from a sedentary control

A machine learning approach to the differentiation of Functional Magnetic Resonance Imaging data of Chronic Fatigue Syndrome (CFS) from a sedentary control, by Destie Provenzano,  Stuart D Washington and  James N Baraniuk in Front. Comput. Neurosci., 29 January 2020 [https://doi.org/10.3389/fncom.2020.00002] … Continue reading

Posted in News | Tagged , , , , , , , | Comments Off on A machine learning approach to the differentiation of fMRI data of CFS from a sedentary control

Identifying key symptoms differentiating ME & CFS from MS

Research abstract: It is unclear what key symptoms differentiate Myalgic Encephalomyelitis (ME) and Chronic Fatigue syndrome (CFS) from Multiple Sclerosis (MS). The current study compared self-report symptom data of patients with ME or CFS with those with MS. The self-report … Continue reading

Posted in News | Tagged , , , , , , , | Comments Off on Identifying key symptoms differentiating ME & CFS from MS