For years, dog scientists have known that food appears in bowls or rains from the sky, but the exact source and mechanism is unknown. Buster et al observed that barking at an intermediate volume correlates with food appearance, but only at certain times of the day. #sciart

Made a site comparing the sizes of living things :) The great Julius Csotonyi spent 5 months painting over 60 illustrations for the site, no ai used

Love this piece by @hhlee that touches on the impact @ARIA_research is having: “this is the most dynamic science ecosystem in the world right now” The UK has lots of challenges, but there are some extraordinary pockets of excellence and optimism👇

1/ We’re excited to announce the inaugural founders of the Frontier Research Contractor Launchpad (FRCL), powered by @ARIA_research. FRCL is building a new class of ambitious, applied R&D organisations in the UK, led by and building on the work of @eric_is_weird.

Nature Unveiling Herself Before Science (La Nature se dévoilant à la Science) (Barrais)

There’s a belief in SF that with enough money you can solve anything. For a lot of technical companies, VCs are therefore looking for a charismatic founder who they believe will be able to get that money. In the first few rounds, they care less about the actual technical

Biotech has a narrative void. Biotech has potential for much much more futuristic and positive outcomes than most other companies. But biotech founders largely miss the opportunity, don’t have priors to narrative building, or see it as a waste of time. If you’re building a

Microgravity crushes human bodies. If we want to conquer space, we need to invent giant rotating space stations with artificial gravity. To get them up into the sky, they will need to be inflatable. https://t.co/ArL6UyOeN5

Still my favorite 3D reconstruction of a pancreatic tissue. Using the CODA workflow, we mapped a billion individual cells in 3D. Red: pre-cancer lesions Navy blue: ducts Light blue: islets of Langerhans Purple: acini Green: blood vessels More here: https://t.co/RsB0RYoPIy

turns out everything nabla’s model claims it can do, chai’s can too! so i guess the suspicion that developability being a naturally emergent property of a well-trained model is true the GPCR result also seems emergent (surprising!), given that chai-2 could do it from the start

Super non-rigorous company and everyone in the biotech company with a spine should speak out against this misuse of science. I know it's not popular when companies have famous investors, but again... grow a spine.

I've just written a new post raising a series of concerns about Nucleus Genomics, a company that offers embryo selection services based on polygenic scores for couples undergoing IVF. I was shocked by the degree to which Nucleus's work is obviously plagiarized or simply wrong.

🚀🚀🚀Huge pharma drop today from @EvEBiotech 💊💊💊 Every drug vs every druggable human protein. 385,572 combinations (so far). The largest drug-target dataset ever created. And it's still growing on @huggingface. The impact will be huge ⤵️

🗨️ Just published in @NatureBiotech: Our CellWhisperer AI enables chat-based analysis of single-cell sequencing data. You can talk to your cells & figure out the biology without writing any computer code. Paper link and annotated walkthrough in the thread below (1/11)

You have heard of AI slop in the context of short video creation. But the same principle applies when it comes to improving drug discovery: we absolutely do not need a deluge of new hypotheses; we need better predictive validity (as per @JackScannell13). https://t.co/kdEEQ38qbP

Glad to see our antibody design paper finally out in @Nature (and congrats to lead authors and everyone involved )! At @Xaira_Thera we are excited about pushing antibody design further to bind harder targets and make drugs for unmet medical needs. Paper: https://t.co/h2bXGOvuGW

New pre-print 🧬✂️! We show that paired prime editing can efficiently generate large deletions (>1 Mb! 🤯) with high precision and at scale. We use this to perform the first pooled prime deletion screen across the human genome 👇short thread https://t.co/YnYgNaFMFi

Richard Durbin from the University of Cambridge at #GenomicsAtScale25

🤔How do you design a promoter for stable titration of expression? 💡Try programmable promoter editing with DIAL! 📰Now published at @NatureBiotech 🧵 [1/n] 🔗 below

High point at #GenomicsAtScale25 with a very cool talk by @hana_aliee. She's hiring so make sure you apply!!

Ulrike Künzel from AstraZeneca at #GenomicsAtScale25