Jordan Krull

PSA: Stop calling macrophages in tissue M1 or M2. These are not states that exist in biology. The only use of M1 is a macrophage cultured ex vivo with LPS and IFNg; and for M2: IL-4/13/10. Macrophages in tissues are highly complex and diverse and do not resemble either of the aforementioned M1/M2 states. M1/M2 language causes confusion and sets the field back. Refer to your macrophages by the molecules they express and the cytokines they make.

I don’t normally post personal things on here but if you know me, my comfort with public speaking (even scientifically) comes from this guy. I was proud to support my dad this weekend for his Iowa RnR HOF induction, with the family. 40+ years in radio!

@AnneNovak1 @MayoGradSchool Congrats to you both!

One of the most rewarding aspects of working in academic research is the joy you receive from mentoring the next generation of scientists, congratulations to Dr. Hopper and all of the other @MayoGradSchool graduates! 🎓

Wow! Excited to have such a great leader coming to OSU!

@AdrianoAguzzi Quit bragging…

@VPrasadMDMPH So do YOU have any empirical evidence to support the claim that funded diversity based grants are of lower quality and standards? I get your argument but its really based personal anecdotal opinions.

It sucks to have NIH grants that arent funded. A huge waste of time. At the same time, I think cutting DEI grants is a needed correction. Much of this work is descriptive, and, at this point redundant, the few interventional studies are often non randomized, or have poor control arms, limited power, or measure proxy rather than clinically meaningful endpoints. Since the topic is feel-good among liberals, the scientific standards are often lower. It's sad to waste time writing the grant but that is a broader failure of NIH. Millions of human hours have been lost from NIH hurdles. Perhaps more hours are spent writing grants than doing science among elite investigators. The system has to change. It needs a dramatic reform. In the process, inevitably, some researchers will be disappointed. That is unfortunate, I agree.

In my experience, “publish as fast as possible” in comp bio is ruining research. Too many fill-in-the-gap strategies to publish a new ai model. You can’t impute variants or lab values. What you see is what you get, so work around it.

@NewRockstars @DEADLINE Lucasfilm once again delivering what no one asked for. Do they think Rogue One was a failure?!

‘STAR WARS’ Episodes 10-12 are reportedly in the works at Lucasfilm! Simon Kinberg will write the new trilogy Via: @DEADLINE

@jbhuang0604 I guess I don’t consider image models the same as image-text models. There are a number of instances where self supervised models work fine on images alone. This of course depends on what you want to accomplish.

Why is self-supervision in vision still not working? 🤔 When pretraining a transformer on TEXT-only data by predicting the next tokens, we see clear improvement trends as we scale the model, data, and computing. But after trying to pretrain a transformer on IMAGES-only data with contrastive learning (e.g., SimCLR), masked prediction (e.g., MAE), and self-distillation (e.g., Dino), at the end of the day, the most successful vision encoders still have to rely on vision-language paired data (e.g., CLIP. SigLIP). Or have people not yet tried connecting MAE/Dino with LLMs? Why is that? Thoughts?

Science network! Im at #SITC2024 and excited to represent OSU the #PIIO IO informatics group (IOIG). I look forward to evaluating the current bioinformatics and AI research in IO as well as networking with other early investigators. Hit me up!

@RobertKennedyJr You’re also like the least qualified person to make any decision on health agencies…so theres that.

President Trump has asked me to do three things: 1. Clean up the corruption in our government health agencies. 2. Return those agencies to their rich tradition of gold-standard, evidence-based science. 3. Make America Healthy Again by ending the chronic disease epidemic.

@LandonLocke RBCs? I think they’re too big to be platelets.

To those who work with primary monocytes or PBMCs, do you have any idea what these coin-shaped features might be that are scattered amongst the immune cells? Are they platelets? They are calcein AM positive (viable) and are present at seeding time. #PBMC #Macrophage #immunecells

@AdrianoAguzzi I second the biocoins comment. Plus, if they get more icons it makes the move from biorender even easier.

I sure wish GEO had a comment box. I think 50% of processed datasets I try on there are not what the authors listed in their data availability…shame on you.

Thrilled to share our article "A single-cell and spatial RNA-seq database for Alzheimer’s disease (ssREAD)" has been published online Nature Communications. This is a great teamwork between @ Qin Ma BMBL group and Postdoc Diana Acosta in my group. nature.com/articles/s4146…

@ChristinBurd Epoxy?

Anyone have a way to fix or print these? #NotBuiltToLast #OverpricedPlastic

This country is literally building high speed rail on the moon before it does on Earth.

Come see me on Thursday! I'll be discussing single cell foundation models and their potential applications in studying tumor immunity. Stay tuned on this exact topic for work from myself and @QinMaBMBL lab coming later this year.

Those that know me. This…