Started, going, etc
But at least it's still V1 π€¨
@roby-b
ID doc (MGH), PI (Broad Institute), antibiotic resistance resister, sepsis immune profiler, COVID doc, husband, dad. Coffee, tennis, kindness, science, & sleep enthusiast. Here to learn, as that other place devolves. Views mine. | bhattacharyyalab.org
Started, going, etc
But at least it's still V1 π€¨
This is the warning on the blood pressure monitor my dad just got.
Exceptional work. Anybody know what the fuck itβs supposed to mean?
Last line is especially ominous
I read this as Joan Baez and... had some questions
A line graph showing the success rates for fiscal years 2015-2025 as a function of percentile score. The curve for fiscal year 2025 is substantially lower than for previous fiscal years.
With these results in hand, we can now reproduce the graph that @joshuasweitz.bsky.social posted.
It is still shocking, but we can now understand why it looks the way it does: The number of R01 and R56 awards were down while the number of applications were up.
16/20
A line graph showing the number of NIH R01-equivalent awards for fiscal years 2015-2025 as a function of percentile score. The curve for fiscal year 2025 lies substantially below the other curves.
Here are the results for the numbers of "R01 equivalent (R01 and R37 (Merit)) awards.
The number of awards for fiscal year 2025 falls off substantially faster than for earlier fiscal years.
10/20
A short Bluetorial on plots of NIH application success rates as a function of percentile.
1/20
Not personally, but I know Jim Collins' lab at the Broad Institute has used it quite a bit. @jasonyanglab.org, any tips on a Seahorse for bacteria?
Letβs just say it was a slightly wonky but obviously bad-faith argument, and I thought too hard about pointing this out, then let it go with few regrets.
The reason I now regret that? Yeah, theyβre in the administration now π« π
My whole life there was only one Twitter beef I regret abandoning.
move slow and repair things
Iβve been wondering this myself, from the sidelines
For the next 24h, drop any infectious disease and/or vaccine-related questions in response to this post, and I will do my best to answer them. Answers are for information only, NOT medical advice.
#AskAnIDDoc March 2026 edition.
Yeah, itβs a wild Discourse atm
Yup, this is actively happening to every PI I know.
Below 10% paylines, you could apply 15 times - once per cycle, every cycle before your R01 lapses - and have <80% chance of getting 1 grant funded.
That's for 100% funding probablity at 10th percentile. 2025 was 50% probability at 10th percentile.
Unsustainable.
Lake Wobegone-ass funding lines.
Despite this, preprint submitted!
Filename ending "Paper_FinalV1_rpb"
Sure enough, tale as old as time:
filename ending in "Paper_FinalV1.docx"
Postdoc in my lab, planning ahead with "FinalV1" π ... still, preprint ahoy!
Today I Will Look The Burrito Man In The Eye and other stories of manifesting success
If there's a good, accepted way to think through & "correct for" this problem in transcriptional time-series analyses, I haven't found it. We've built analyses to account for it, but only for specific (diagnostics related) applications; I haven't seen a good general solution.
And if a drug inhibits growth, while control samples keep growing, then what looks like "drug response" might just be the lack of transcriptional changes of growth, thus not specific to your drug, & often not interesting.
See this a lot in bacteria / antibiotic response, within hours. Non-trivial.
π₯³π
The moon going from full moon to a red moon and starting to go back to a normal full moon, then my camera battery door fell off.
Here's my first edit on the March 3rd Lunar Eclipse. 15 moon shots, 1 foreground. Taken over a 3 hourish period.
My favorite from the Covid lit was βCleanup on IL-6β
I think it is absolutely scandalous that in just one year of an HHS under the leadership RFK.Jr the US has lost its Measles elimination status and is now on track to do same for perinatally acquired Hepatitis B. These are huge public health wins that took years to accomplish.
Anyway, recovering from the latest grant submission, off to edit a couple papers my own self π«
I'm a slowish grant-writer (laudatory, I hope?), & an LLM skeptic / late adopter. 6.5 yrs as a PI, each grant remains a struggle, but in that struggle I sharpen my thinking. I don't want to outsource that. But with funding levels <10%, and randomness inevitable in review, is my process sustainable?
Interested in learning outbreak analytics and modelling, with a focus on real-life case studies and tools actively used in responses?
Apply for the popular @lshtm.bsky.social R shortcourse, led by @jwlambert.bsky.social & @andreevallecam.bsky.social
More: www.lshtm.ac.uk/study/course...
Fig 2 from the linked study (Mina et al, Science vol 366, p599-606, 1 Nov 2019)
Abstract: "We studied 77 unvaccinated children before & 2 months after natural measles virus infection. Measles caused elimination of 11 to 73% of the antibody repertoire across individuals." The effect was NOT seen after MMR vaccination, but was seen in infected macaques.
Here's a key figure: