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Derya Unutmaz answered

This paper is the culmination of three plus years work and $2.6MM in funding. Since this paper is focusing mainly on T-cells I wonder why they did no gene expression studies on these cells, to compare patients and controls. Just checked NIH reporter and the project description does say they...

How do I interpret Figure 9? Does this mean you could use the model that has the 10 features with highest importance and select 50% of patients correctly, and almost 0% of controls as false positive? If yes, What is special about this 50% and could it be considered a subset? Actually I'm...

Thanks for the timestamp. They didn't say who actually found the metabolites not measured before. They did say Chris Armstrong and Laurel Crosby would be working on it, with some assistance from Robert Phair. I assume the first two do the experiments and the last one some pathway simulation or...

This seems to be the other OMI part involved OMI - Howard Young Foundation Tick-Borne Illness Center of Excellence https://www.howardyoungfoundation.org/appeals/tick-borne-illness-center-of-excellence/

I never figured out the relationship between OMI and OMF. I asked one time and I think they may have used the same person to set up both charities. I read somewhere that Vinod Khosla put up the initial money for the research arm of OMI (Andy Kogelnik). Vinod Khosla was a founder of Sun...

This is the Open Medicine Institute Website https://www.openmedicineinstitute.org/ These are the OMI sites according to their website https://www.openmedicineinstitute.org/lab---draw-station-list.html

My interpretation of this is that you find an interesting result in pilot work that you want to follow up on, submit an NIH grant, but the reviewers say you are not an expert so deny. We know the make-up of ME review panels is pretty bad from Jennie Spotila's blog posts. How do we get out of...

I'm assuming this is the project that was started 1 June 2016, before the centers were announced, and funded at $650,000 per year per this information. No ME/CFS papers have been reported under this grant yet. Title : DECODING IMMUNOLOGICAL PERTURBATIONS DURING CHRONIC FATIGUE SYNDROME...

Lipkin is already looking at these subsets. The collaboration is really good to see, happening before publication! This is a quote from the end of Ian Lipkin's CDC talk taken from the YouTube transcript.

To put this in perspective California has a population of ~40 million people, but only two senators. Both are supporters of ME/CFS causes.

Seems to be a University of Miami paper. However Klimas does have her name on it. At least three recent papers where she has had her name on have been pretty poor in my opinion. This one, the 23andMe genetic predisposition one (uses 23andMe miscalls), and the Modelling one (no validation data...

Thanks for the suggestion @Trish. I did get around to sending an email to Travis Craddock around the time of his Solve ME/CFS talk highlighting some of the awful mistakes in this paper. I didn't even get the decency of an acknowledgement. Very disappointed.

From what I understood from watching some ME talks such as Michael VanElzakkers, at present they can only measure a limited number of metabolites with the technology used.

Ian Lipkins team has posted that the video is back up

On the webpage can you make the top image much shorter? On page loading in Firefox I cannot see the text. The top image is too large, and starts too far down the page. Here is a screenshot what I see capturing the maximised window on Firefox You may also want to add the word UK in the...

FYI @Andy - I found the OK button on the survey confusing. Is it meant to do something, or did it get left over by mistake?

I thought some folks would be interested in the work of Elizabeth Bik who is a microbiome researcher now investigating research integrity & misconduct. She has found between 4-6% of biomedical papers have image duplication. Some are honest mistakes, others are blatant image manipulation...

Thanks @Andy, that was brilliant. Loved this bit

I tried to post an example above in a light hearted manner how data can say one thing, but does the data make common sense? Just because a paper is written with nice big words by important sounding "scientists" with very significant P-values doesn't mean it's right. Why would income relate to...