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We’re hosting micro1’s global Eval Hackathon.
9 days. online. individual. free to join.
Build an eval that tests where today’s frontier AI models still fall short, using your expertise across software, finance, legal, healthcare, science & more.
🏆 $10,000 in cash prizes!
🥳 Congratulations to Editor-in-Chief @kiranmusunuru
Congratulations and welcome to the 100 new members elected today to the National Academy of Medicine's class of 2026!
Read the full announcement: nam.edu/classof2026
#NAMmtg #NAMedicine
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A species of lungfish found in South America has claimed the title of the animal with the biggest genome sequenced so far.
The DNA of Lepidosiren paradoxa comprises a staggering 91 billion chemical letters or “bases,” 30 times as many as the human genome, researchers reported in 2024.
However, those 91 billion bases of DNA only contain about the same number of genes that humans have—roughly 20,000—with the rest consisting of noncoding, perhaps even “junk” DNA.
By comparing this genome with those of other lungfishes, the researchers determined that L. paradoxa adds the equivalent of a human genome to its DNA every 10 million years.
Learn more on #WorldAnimalDay: scim.ag/4o4YCe5
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scplotter provides a set of functions to visualize single-cell sequencing data in an easy and efficient way
github.com/pwwang/scplotter/…
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Picture reaching for something on a high shelf and coming up short. You don’t give up; instead, you find a stool, carry it over, and climb up. Buried in that action is something remarkable: You held the goal in your mind, identified what you needed, and executed a plan. No training required.
A study suggests bumble bees can do the same—the first demonstration of this kind of goal-directed problem-solving in an insect.
Learn more: scim.ag/49Craqw
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A new computational approach that can detect ancient hominin ancestry in modern humans without requiring archaic reference genomes reveals a more complex picture of human evolution than previously imagined.
Leveraging this approach, researchers report in Science that an unidentified "ghost" population contributed DNA to the ancestors of all modern humans before they dispersed out of Africa.
Learn more: scim.ag/4q0of1S
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Announcing Built with Claude: Life Sciences, a global virtual hackathon.
Join us and @GladstoneInst for a week of researching and building with Claude Science and Claude Code, with a prize pool of $100k in credits.
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The All of Us program announced earlier this week a new data release from 747,000 participants, including:
👉 535,000 whole-genome sequences
👉 Electronic health record data from 482,000 participants
👉 Combined proteomics and transcriptomics from ~8,000 participants
👉 Fitbit wearable data from 68,000 participants
This is already the world's largest genomic resource integrated with longitudinal clinical data, surpassing resources such as FinnGen and UK Biobank.
It's remarkable to think that the program launched only in May 2018 and has already generated a resource of this scale, contributing to more than 1,000 publications.
Importantly, as with all longitudinal population resources, its value is likely to compound over time as additional follow-up datapoints from each participant accumulate.
Building, expanding, and enriching foundational resources like All of Us is one of the highest-return investments we can make in biomedical research.
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🚨Last chance—submit your abstract TODAY!
Present at ASHG’s Virtual Symposium: The Intelligent Genome: Powered by AI (Sept 24–25). We're seeking research, case reports, & real-world AI/ML genomics applications.
Selected talks + CE credit available.
🔗: bit.ly/3QDNidF
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This is huge 10,000× faster 👀
"Researchers just developed an AI system called TITO that can simulate molecular dynamics up to 10,000-fold faster than conventional methods."
"The model was trained across more than 12,500 organic molecules and 1,000+ peptides, learning how molecular systems evolve over time."
"Instead of calculating every femtosecond-scale step, the AI can effectively bridge molecular behavior from femtoseconds to nanoseconds while preserving the underlying physics."
Thats why!
Scientists will soon be able to explore drugs, materials, catalysts and biological systems dramatically faster than before.
This could be one of the first real signs of AI accelerating scientific discovery itself.
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Duplicate, diversify, repeat: The evolution of NOTCH2NL dlvr.it/TT1LxQ
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Rare disease diagnoses can rely on exome sequencing, but answers may be hiding in noncoding regions. 🧬 PromoterAI is a new deep learning tool that identifies pathogenic promoter variants, which may account for up to 6% of rare disease genetic burden 🔍
science.org/doi/10.1126/scie…
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Great new genomic resources for inflammatory bowel disease (IBD) from the International IBD Genetics Consortium
1⃣The largest to date IBD GWAS in 125,992 cases & 1.2M controls showing 619 independent signals at 420 IBD regions accounting for 77–80% (!) of SNP-based heritability
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It’s undeniable: the AI scientists are here.
On May 19, Nature published three papers that gave the field one of those “something just changed forever” moments.
Here’s what you need to know. 🧵 (1/6)
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Today, we introduced Gemini For Science, a collection of experimental tools designed to expand the scale and precision of scientific exploration.
Included in Gemini for Science are three (!!!) brand new Google Labs experiments. Meet your new AI research partners: 🧵👇
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SV-GWAS is highly accessible now! Our new paper in @NatureGenet shows how HiFi long-read assemblies let us repurpose SNP-based GWAS data to impute structural variants (SVs) to interrogate their role in human complex traits and diseases. @WeiyangBai nature.com/articles/s41588-0…
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Today we all lost our jobs.....
Three Nature papers showing that scientists in the conventional sense are obsolete
At least read the first one.... the AI replaced all things that the scientist does ....
nature.com/articles/s41586-0…





























