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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
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Tagged Anita Franco, Bita Rostami-Afshari, Christian Godbout, Corinne Leveau, Diana Petre, Dr Alain Moreau, Evguenia Nepotchatykh, Fibromyalgia, Iurie Carausus, machine learning, micro-RNA, miRNA, Mohamed Elbakry, Nasrin Khatami, Wesam Elremaly
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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
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Tagged Brooke Scoles, Catia Nicodemo, doctors, machine learning, online forums, Reddit Medicine subreddit (r/medicine)
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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
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Tagged 2-day exercise test, 8-hydroxy 2 deoxyguanosine, 8-OHdG, Adenosine triphosphate, ATP, DNA methylome, Jemma Elley, machine learning, mitochondrial dysfunction, oxidative stress, oxygen consumption, PEM, Post-exertional malaise, precision medicine, Prof Warren Tate
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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
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Tagged Abigail A Brown, decision trees, Diana Ohanian, machine learning, Madison L Sunnquist, MS, Multiple Sclerosis, Prof Leonard Jason
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