What does it take to truly understand #cancer in all of its complexity?
Delighted to share our Review in Cell "Cancer ecosystems: A dynamic interplay across scales" with Daniela Quail, where we propose a multi-scale framework connecting tumor ecology with physiology 🧪⚕️
www.cell.com/cell/fulltex...
Woohoo! Excited to be the cover feature!
New paper alert 🚀 Our organism-wide single-cell ATAC-seq atlas of mammalian aging is now out in @science.org, led by our fantastic graduate student Ziyu Lu from @rockefeller.edu!
www.science.org/doi/10.1126/...
NYC SN❄️❄️❄️❄️❄️❄️❄️❄️❄️W
"We're changing our approach to science philanthropy"
-> they're funding AI, just like everyone else
Proud to announce our 2026–2027 Research Grantees! Their innovative research is advancing ovarian cancer early detection and prevention—bringing us closer to a future where every woman has a fighting chance. tinaswish.org/grants-26-27/
The unfounded move by HHSGov against mRNA vaccines will hurt our future potent immune therapy vs cancer. Another point of progress for triple-negative breast cancer with individualized neoantigen mRNA vaccines today
Adds to pancreatic, renal cell, melanoma reports
nature.com/articles/s41...
As Valentine’s Day #ValentinesDay arrives, here’s one of Ireland’s greatest love poems: Dark-Haired Miriam Ran Away by Patrick Kavanagh (1946), inspired by Hilda Moriarty, a 22-year-old med student he became infatuated with. Later set to music as Raglan Road and famously sung by Luke Kelly.
@landau.bsky.social @rdrapkin8-penn.bsky.social Paul Mischel, and Adam Widman are searching for pre-cancerous signals of ovarian cancer in the blood, laying the foundation for non-invasive screening test. 🩸@tinaswish.bsky.social
@weillcornell.bsky.social @mskcancercenter.bsky.social
Absolutely remarkable: striking effects of infusion time-of-day on immunochemotherapy efficacy in nonsmall cell lung cancer in a randomized phase 3 trial www.nature.com/articles/s41...
Today in @nature.com, we describe how discarded reads in biobank-scale WGS can help resolve the genetic predictors and consequences of Epstein-Barr Virus (EBV) infection.
Wonderful working with @ryandhindsa.bsky.social @sherrynyeo.bsky.social @erinmayc.bsky.social
www.nature.com/articles/s41...
I STOP WRITING THE POEM to fold the clothes. No matter who lives or who dies, I'm still a woman. Ill always have plenty to do. I bring the arms of his shirt together. Nothing can stop our tenderness. I'll get back to the poem. I'll get back to being a woman. But for now there's a shirt, a giant shirt in my hands, and somewhere a small girl standing next to her mother watching to see how it's done.
Doing the housework and thinking of this poem from Tess Gallagher.
Thank you Raheleh !
Thank you!
🖖 @themarkfdn.bsky.social NCI NHGRI @cegs-ica.bsky.social @smahtnetwrk.bsky.social
Now online in Cancer Discovery @aacrjournals.bsky.social: Genotype-to-Phenotype Mapping of Somatic Clonal Mosaicism via Single-Cell Co-Capture of DNA Mutations & mRNA Transcripts by @dennisjyuan.bsky.social, @landau.bsky.social, et al. doi.org/10.1158/2159... @nygenome.org @weillcornell.bsky.social
Happy new year/paper!
A new tech (scG2P) maps genotype (DNA) to phenotype (RNA) in single cells, bringing together the worldviews of genetic & transcriptional heterogeneity. With scG2P we define how mosaicism drivers increase clonal fitness in the aging esophagus
aacrjournals.org/cancerdiscov...
Now online in Cancer Discovery @aacrjournals.bsky.social: LINE-1 Locus Transcription Nucleates Oncogenic Chromatin Architecture - by Michael Lee, Yuannyu Zhang, Jian Xu, and colleagues doi.org/10.1158/2159... @stjuderesearch.bsky.social
Excited to see this out www.nature.com/articles/s41...! Nonparametric kernel-based tests for spatially variable isoform usage in spatial transcriptomics. So many interesting examples in the CNS and cancer, we're only scratching the surface!
i hate elon musk for a lot of reasons
but one of them is that now sometimes i first see interesting papers on linkedin
LINKEDIN
Delighted to have our work on 🧬 resilience to 🩸cancer led by @g-agarwal.bsky.social & amazing collaborators, including @kharaslab.bsky.social, published in @science.org: www.science.org/doi/10.1126/... 🧵
Congrats! Way to start 2026!
Thank you again Oded and team for fighting for a better system for science. Wishing you a happy & healthy 2025!
5. Do you see new pitfalls specific to this AI review and if so, how are you thinking about mitigation?
4. It's not hard to project forward to imagine qed as a universal reviewer for papers, grants and such. How do you see which current human drawbacks (e.g., fashions, bias, resistance to very novel ideas) will propagate with the training corpus and which will be ameliorated?
3. What would you view as success? What specific failings of the current system could it help with?
2. Are there benchmarks? How does it perform compared to available LLMs?
Thank you for working to change the system, Oded! Clearly system is v. flawed and we all have our scars. Some questions I'd love to learn more about (sorry if I missed info):
1. Would there be a paper at some point that explains what the model was trained on and how was it trained?
His soul swooned slowly as he heard the snow falling faintly through the universe and faintly falling
~ James Joyce
Fred Stein
