Genetic engineering in human embryos is here.
Today, in a world first, @Columbia and @nucleusgenomics announce high-efficiency editing of human embryos.
The study, led by Dr. Dieter Egli's lab at Columbia University, with Nucleus Genomicsโ Dr. Nathan Treff as a senior co-author, achieved editing efficiencies of up to 100% at targeted loci. Simultaneously, we showed no detectable editing-induced chromosomal abnormalities and low off-target activity.
In other words, this is the closest we've come to practical, high-precision gene editing in human embryos.
We are also excited to announce we will be funding and participating in the next phase of this research, alongside Columbia and Dr. Egli.
We see ourselves as a natural pathway for eventually bringing technologies like this into clinical care as part of a broader genetics platform โ a full "Genetic Optimization" stack.
@nytimes broke the news in what is a historic moment for Genetic Optimization. See story in thread.
@ScientistTools Such a great tool!
Do you happen to know if the Claude install prompt will work in Codex? Or are the plugins using Claude-specific API's?
Making my slides for my talk later this evening at @arizeai 's Observe and just took a fresh look at how our company wiki has grown over the last few months. We're now at ~200 edits to context per day across the 70 people at PromptQL!
The spike started once we moved our primary place of work to where we capture & curate our context!
Introducing Genomi: an open-source agent harness that turns your AI agent into your personal DNA expert.
I took a DNA test years ago. Like a lot of people, I got the report, found something interesting, and forgot about it.
Recently I gave the data to my codex agent and it was obvious how incredibly useful DNA is for personal health, but:
> General AI can sound right while being wrong
> Static DNA reports canโt keep up with new science
> DNA data should stay on your local device, not uploaded to a website
So we built Genomi, local-first, agent-native, self-evolving, evidence-grounded.
The ToolUniverse plugin for Claude Code is here: 2,000+ life-science tools and 120+ research skills, with a real source on every answer, installed with one prompt.
ToolUniverse already powers a range of AI agents. This plugin brings its full toolset and skill library into Claude Code. What it does:
โ Claude Code automatically reaches for the right tools and skills to run a full life-science analysis end to end: variant interpretation, RNA-seq differential expression, drug and target lookups, rare-disease workups. Every claim comes back with a real source, instead of from memory.
โ When accuracy is critical, dedicated commands add discipline:
โข cross-validate a claim across 3+ independent sources
โข literature-sweep, a graded review across 15+ indexes (PubMed, EuropePMC, OpenAlex, and more)
โข compare, side-by-side tables for drugs, targets, diseases, or variants
โข research, a step-by-step multi-source investigation
โข translate-id, resolve an ID across every namespace
Install in one step. Paste this into Claude Code and it sets itself up:
Read https://t.co/Ja5m97nXx0 and install the ToolUniverse Claude Code plugin for me.
Blog post ๐
https://t.co/vPICA4vcrH
@marinkazitnik@ScientistTools@KempnerInst@HarvardDBMI
@tarkov Very thematic and well-designed map, though lack of other PMC's makes it more of a mechanical problem of clearing AI at which point you can loot without anxiety
With UMA playground, the crazy things Feynman could only ask us to imagine become something you can see. Heat, break, and build at https://t.co/bZFDORa9Mw
WOW! I've self-taught a lot of chemistry and always felt that there was a dissociation between textbook reaction descriptions and REALLY understanding what was going on at the atomic level.
As a visual learner, this is incredible.
Can I make a suggestion: Add a playground with a searchable list of common re-agents to facilitate specific reactions
For example, being able to quickly put together something like an Oppenauer Oxidation
@lauriewired Have you considered using one of the voice models to auto-dub your content across languages + do subtitle generation?
That's really cool to have such an international audience, love your content!
@eatonphil@julianhyde would be an interesting one
Apache Calcite author, worked on Looker at Google and also Apache Arrow/Drill.
Pretty unique perspectives on query engine implementations since Calcite supports arbitrary datasources as targets, lots of nuance in that
@Farooqi_Lab@ScienceMagazine@teichlab The atlas predicts that aromatase has the highest expression in the GI nervous system which would be a novel discovery as far as I've ever read
https://t.co/TWP6LgHUvk
@Farooqi_Lab@ScienceMagazine@teichlab Words cannot express how incredible this is. I could spend hours in the Hormone Cell Atlas app, so fascinating!
Thank you for sharing this
@biogerontology What is the best pipeline today for QSAR prediction?
Suppose I want to say "Identify candidates for receptor XYZ and generate QSAR/ADMET predictions"?
The event I am talking about is actually later today! But I made this really fun app for the event earlier using PromptQL. Shared context makes everything so much easier to do :)