The largest study on late life virginity, based on > 400k individuals, out now in PNASNews Open access link: pnas.org/doi/10.1073/pn… Shoutout to shared first author Laura Wesseldijk ❤️ Thread below 👇🏽

Many of the most complex and useful functions in biology emerge at the scale of whole genomes. Today, we share our preprint “Generative design of novel bacteriophages with genome language models”, where we validate the first, functional AI-generated genomes 🧵

AbbVie is acquiring YC S20 alum Gilgamesh Pharma’s psychedelic drug bretisilocin for up to $1.2B after it showed a 94% remission rate in Phase 2 trials for major depressive disorder. A big step toward new treatments in psychiatry. Congrats to the team! fiercebiotech.com/biotech/abbvie…

I’m proud of this one. I brought a solar telescope to Florida to capture a Falcon 9 rocket launch transiting the sun. While these have been captured before, never with the details of the sun’s chromosphere, which makes this one the first! See the video or get the print below 👇

A paper in nature presents a new artificial intelligence model that can predict how a person’s health might change over their lifetime. This tool could help doctors and health planners to better understand and prepare for personalized medical needs. go.nature.com/4mFzPfz

When nature has a problem to solve, it makes a protein. Now, with the help of AI, what we used to have to do with electronics or optics we can increasingly do through biology. Starting with the world’s most sensitive optogenetic channels. Paper linked below ⬇️

Excited for a major milestone in a collab effort led by Jesse Engreitz to map enhancers & interpret variants in the human genome: The E2G Portal e2g.stanford.edu collates predictions of enhancer-gene regulatory interactions across >1,600 cell types & tissues. Use cases 👇1/

The Role of Selection for Function in Aging and Chronic Diseases: A Novel Evolutionary Perspective onlinelibrary.wiley.com/doi/full/10.11…

The DREAM complex links somatic mutation, lifespan, and disease biorxiv.org/content/10.110…

The big one is finally out!! In this paper, we set out to provide insight into the fundamental question; How do the individual cells from complex tissues regulate their proteomes? Brief summary of our findings 👇 biorxiv.org/content/10.110…

📜 New publication from the ITP (Intervention Testing Program) identifies three new compounds that extend lifespan in male mice (unfortunately not female mice) 🐭 : 🍫 1. EPI (epicatechin)- a flavanol found in cocoa = 5% median lifespan extension in male 🐭 . Studies in humans

Simple but seemingly effective idea

We are excited to share GPN-Star, a cost-effective, biologically grounded genomic language modeling framework that achieves state-of-the-art performance across a wide range of variant effect prediction tasks relevant to human genetics. biorxiv.org/content/10.110… (1/n)

As requested by the toiling intellectual masses, together with Jan Gruber, we've just put up a theory summary. Enjoy some excerpts + the link in the first comment. Complex systems are built hierarchically: at each scale, new variables and patterns emerge from the collective

I particularly found the explanation of the attractor concept a very useful perspective on how stochastic mechanisms are linked to deterministic outcomes. It is time for the programmatic theories to die, and “embrace the messy, stochastic reality of biology.”

1/ It feels surreal to announce completion of the first human trial in the development of our neurotech platform for designing mental states, from the molecular level. Human experience is now programmable. A🧵on the sequel to psychedelics & the first new "emotion in a bottle."

scFLUENT-seq reveals that individual cells—lymphocytes to stem cells—transcribe only ∼0.02%–3.1% of the genome, versus >80% in bulk, revealing limited genome engagement and profound cell-type and cell-to-cell heterogeneity Cell 🇨🇳 cell.com/cell/fulltext/…

Title: Advice for a young investigator in the first and last days of the Anthropocene Abstract: Within just a few years, it is likely that we will create AI systems that outperform the best humans on all intellectual tasks. This will have implications for your research and

In a line of foundation models for single-cell: 🚀 From CellPLM (ICLR’24, cells as tokens) → Tabula (NeurIPS’25, federated tabular FM) → now scLinguist, our first multi-omics foundation model for single-cell. Inspired by machine translation + limited paired single-cell data:

Likes robots more than cats lol 🤦‍♂️