Alex Kashi, BS, is a graduate researcher at Stanford University, California, with an expertise in bioengineering and bioinformatics. He has worked on the nanoelectronic impedance-based sensors being developed by Dr Ron Davis for the diagnosis and treatment of Myalgic Encephalomyelitis (ME/CFS).
Research studies[edit | edit source]
- Apr 2019, A nanoelectronics-blood-based diagnostic biomarker for myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) - (Full text)
Online presence[edit | edit source]
References[edit | edit source]
- "Alex Kashi". LinkedIn. Retrieved June 17, 2019.
- Esfandyarpour, R.; Kashi, A.; Nemat-Gorgani, M.; Wilhelmy, J.; Davis, R. W. (May 21, 2019). "A nanoelectronics-blood-based diagnostic biomarker for myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS)". Proceedings of the National Academy of Sciences. 116 (21): 10250–10257. doi:10.1073/pnas.1901274116. ISSN 0027-8424.
myalgic encephalomyelitis (ME) - A disease often marked by neurological symptoms, but fatigue is sometimes a symptom as well. Some diagnostic criteria distinguish it from chronic fatigue syndrome, while other diagnostic criteria consider it to be a synonym for chronic fatigue syndrome. A defining characteristic of ME is post-exertional malaise (PEM), or post-exertional neuroimmune exhaustion (PENE), which is a notable exacerbation of symptoms brought on by small exertions. PEM can last for days or weeks. Symptoms can include cognitive impairments, muscle pain (myalgia), trouble remaining upright (orthostatic intolerance), sleep abnormalities, and gastro-intestinal impairments, among others. An estimated 25% of those suffering from ME are housebound or bedbound. The World Health Organization (WHO) classifies ME as a neurological disease.