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It does say on wiki Checkpoint inhibitors effect/inhibit T Cells - is there some chance they could work in LC/ME by that mechnism?

Well, we know that knocking down T cells isn't so bad (with AIDS things are more complicated). We also know that trials of treatments designed to zip up T cells have led to deaths of healthy volunteers (Northwick Park). Blocking checkpoints should zip T cells up. The only theories I can think of for ME/CFS that involve T cells would argue for cooling them down. The rationale for zipping up is killing cancer. I guess it might be killing virus infected cells but the likelihood of that being the problem looks slim to me.

I can't remember what the argument for this was either.
 
What is a “data project” in the context of journalism?
Think maybe as an example looking through disability data pre-post pandemic and trying to find a story/estimate how much the burden of long covid is undercounted.

In general data journalism just kind of means using a lot of graphs/basing a story on data instead of using data to illustrate a story. So often this is the case in things like election analysis after the results have come in or election polling or financial markets etc.
 
Well, we know that knocking down T cells isn't so bad (with AIDS things are more complicated). We also know that trials of treatments designed to zip up T cells have led to deaths of healthy volunteers (Northwick Park). Blocking checkpoints should zip T cells up. The only theories I can think of for ME/CFS that involve T cells would argue for cooling them down. The rationale for zipping up is killing cancer. I guess it might be killing virus infected cells but the likelihood of that being the problem looks slim to me.

I can't remember what the argument for this was either.
That's concerning.

I had a scan of Billy Hanlons Bluesky thread and Nath's rationale seems to be something vague about viral remnants. And something about B cells not maturing.
 
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