mariovitali
Senior Member
- Messages
- 1,216
Dear All,
cc : @sb4, @Murph , @Gondwanaland ,@Learner1 , @Jesse2233 , @Janet Dafoe (Rose49), @JaimeS
After a long time i am giving an update here on the latest developments since last year :
1) I am delighted to announce that i started a collaboration with CureME team at the London School of Hygiene and Tropical Medicine. We used specific analytical techniques to enrich patient records with medications and supplements taken by PwME. We are writing up the paper but most importantly, our work has been selected to be presented in one of the biggest conferences in the world, American Public Health Association (APHA) :
We now have the technology to analyse hundreds of thousands of patient records and understand better if some supplement combinations do work.
2) The machine learning approach continues to outperform other findings. The latest examples are from the webinar presented by SolveCFS. Findings by Birch et. al regarding Glycogen storage disease and iron metabolism have been identified by Machine Learning in 2017 and 2018 respectively (i have references available to any researcher or Organisation wishing to confirm)
3) We have a confirmation of findings by the highly prestigious Karolinska Institutet, Dr Petter Brodin. Since 2018 , Machine Learning has identified the vagus nerve as a potential target but i did not know why. What happened with Jen Brea after her CCI operation gave us -i hypothesise- the importance of cholinergic signalling and most importantly the Cholinergic Anti-Inflammatory Pathway (CAP). Please also note that the Liver has a Cholinergic Nerve with which it communicates with the brain. Snapshots are shown below :
and Jen Brea discusses her problems with Bile Acids Metabolism - Identified with Machine Learning since 2015
and
If Acetylcholine is indeed central to ME/CFS, Machine Learning has identified this since 2015 in a post here on Phoenix Rising.
4) I continue working, trying to put more pieces of the puzzle together. I am currently looking at how the kynurenine pathway fits into the picture and it does. I hypothesise that the vicious cycle discussed by Dr Phair has to do with excitotoxicity and the NMDA Receptor via Quinolinic Acid. If we keep excitotoxicity in check we may stop the vicious cycle :
Unfortunately, since 2015 i had no help from anyone in the sense that these techniques should be used by Medical Professionals and not myself. I sincerely hope this changes soon.
cc : @sb4, @Murph , @Gondwanaland ,@Learner1 , @Jesse2233 , @Janet Dafoe (Rose49), @JaimeS
After a long time i am giving an update here on the latest developments since last year :
1) I am delighted to announce that i started a collaboration with CureME team at the London School of Hygiene and Tropical Medicine. We used specific analytical techniques to enrich patient records with medications and supplements taken by PwME. We are writing up the paper but most importantly, our work has been selected to be presented in one of the biggest conferences in the world, American Public Health Association (APHA) :
We now have the technology to analyse hundreds of thousands of patient records and understand better if some supplement combinations do work.
2) The machine learning approach continues to outperform other findings. The latest examples are from the webinar presented by SolveCFS. Findings by Birch et. al regarding Glycogen storage disease and iron metabolism have been identified by Machine Learning in 2017 and 2018 respectively (i have references available to any researcher or Organisation wishing to confirm)
3) We have a confirmation of findings by the highly prestigious Karolinska Institutet, Dr Petter Brodin. Since 2018 , Machine Learning has identified the vagus nerve as a potential target but i did not know why. What happened with Jen Brea after her CCI operation gave us -i hypothesise- the importance of cholinergic signalling and most importantly the Cholinergic Anti-Inflammatory Pathway (CAP). Please also note that the Liver has a Cholinergic Nerve with which it communicates with the brain. Snapshots are shown below :
and Jen Brea discusses her problems with Bile Acids Metabolism - Identified with Machine Learning since 2015
and
If Acetylcholine is indeed central to ME/CFS, Machine Learning has identified this since 2015 in a post here on Phoenix Rising.
4) I continue working, trying to put more pieces of the puzzle together. I am currently looking at how the kynurenine pathway fits into the picture and it does. I hypothesise that the vicious cycle discussed by Dr Phair has to do with excitotoxicity and the NMDA Receptor via Quinolinic Acid. If we keep excitotoxicity in check we may stop the vicious cycle :
Unfortunately, since 2015 i had no help from anyone in the sense that these techniques should be used by Medical Professionals and not myself. I sincerely hope this changes soon.
