A Stanford immunologist reviews the 181 page document that RFK provides as evidence supporting his statements that harms of mRNA vaccines outweigh benefits attempting to justify his decision to cancel contracts.

The HPV vaccine is CRUSHING cervical cancer and at this rate will eliminate it!! An anti cancer vaccine. It's a medical miracle. HHS Secretary RFK Jr is against it

Today, in collaboration w/ colleagues at the Institute of Science and Technology Austria (ISTA), we report the first-ever method for using light microscopy to comprehensively map all the neurons & their connections in a block of mouse brain tissue. More → https://t.co/i8wWRgPidU

The human immunoglobulin heavy chain constant gene locus is enriched for large complex structural variants and coding polymorphisms ... https://t.co/t10HARSynI #biorxiv_genomic

Will mostly be on Bluesky now. Same handle.

How can we better predict which T-cell receptors (TCRs) will bind to specific epitopes, a crucial challenge in understanding immune responses and developing immunotherapies? @Stanford "Sequence-based TCR-Peptide Representations Using Cross-Epitope Contrastive Fine-tuning of

📢 Genome Research Update from MiLaboratories! 📢 We are happy to share that our latest research paper, "Ultrasensitive Allele Inference from Immune Repertoire Sequencing Data with MiXCR," is published in Genome Research. Our team, in collaboration with @ScottBoydLab and

Today the department's newly appointed lab head Dr Prasanti Kotagiri presented her work from @ScottBoydLab @Stanford - a fascinating talk about antigenic breadth in SARS‑CoV‑2 and Crohn's disease. What a terrific start to her time here, we can't wait to see what comes next!

To all budding compbio & ML folks interested in bio: Don't just only run behind the latest ML model hype train. The greatest long run impact will come by really assimilating prior bio/compbio literature with the goal of really understanding strategies for how to model biology. 1/

These Captchas are getting out of hand #pathology #pathologists #captcha

Antibodies are the product of evolution on two timescales: over millions of years in vertebrate populations, and within weeks of infection or 💉 in populations of B cells. We ask how those timescales interact in our paper out in @PLOSPathogens 🧵 1/n

I am so proud of this effort driven by @olrodriguez_ . This has been a long time coming and I'm so delighted to finally see this paper published. So grateful for a truly amazing team and great collaborators @SmithLab_UofL, @marasco_wayne, & @ScottBoydLab

https://t.co/aGQfyrUeHF

1/ So proud of PhDs @AbigailGroot129 & @wunniess @GarvanInstitute @UNSWMedicine their first paper now out @CellCellPress. Amazing collab with Veera Panova & Oliver Bannard @UniofOxford, David Hume @UQMedicine, @tanmay_mitra_ @Helmholtz_HZI & many more. https://t.co/TNLIJ4xeFl

Science at its best- data from 28 Covid vaccine randomized trials vs placebo. 286 915 people in vaccination groups and 233 236 in placebo groups. Protection from hospitalization 95.4%. Protection from death 85.8%. https://t.co/Tf2J3I8nka

@UlrikStervbo @ScottBoydLab + Maxim @zazius (his brainchild & largely his words) + the rest of the team

Extremely well written manuscript from @anshulkundaje and @ScottBoydLab showing how a combination of 3 ML-models can identify a variety of disease states. Many of the features are even interpretable to help informed decisions and hypothesis generation | https://t.co/1PLppnczG4

This is not good.

Our new paper by Corcoran et al., just out in @ImmunityCP, reveals a high variation in human T cell receptor germline genes. The alleles vary greatly in frequency between population groups and some are, surprisingly, inherited from our archaic relatives. https://t.co/ZkpAiqjRk7

Our updated machine learning of adaptive immune receptor data for identification of immunological diseases or exposures now uses both BCR/IGH and TCR/TRB sequences to increase accuracy. Thanks to the whole team for this major effort. @zazius, @anshulkundaje, @robtibshirani + all.