The official handle for #NVIDIAHealthcare. Helping the scientific and developer community advance research, diagnostics, and patient care with #AI.
Joined October 2020
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NVIDIA Healthcare retweeted
Timeline cleanse
I’ve been writing about this: the next inflection is the lab.
I lost both my parents to cancer and my father in law to Alzheimer’s
Jensen lays out the vision here. Connect AI agents to instruments and robots, run experiments, and feed the results back into models.
I’ve seen a piece of this firsthand at Terray, where I’m an investor. The moat is the measurement.
More experiments. More data. More tokens. 🧬🤖
We need faster cures
Live session with the lead researchers behind RFD4-Proteina today!
Reading group today. RFD4-Proteina: 158 of 188 designed binders bound TrkA below 1 µM. Next best method: 18 of 60. Nate Corley and @DidiKieran will present rfd4-proteina.org/
On Zoom 2pm ET / 8pm CET: hannes-stark.com/starkly-spe…
NVIDIA Healthcare retweeted
Scientific discovery takes the spotlight at #NVIDIAGTC in Washington, D.C.
Hear from scientists, policymakers, and industry leaders on advances in drug development, quantum computing, and federal health.
Explore the sessions → nvda.ws/3WoiaBC
NVIDIA Healthcare retweeted
Folding large biomolecular complexes takes models that can handle longer sequences without running out of compute and memory.
Join Biohub, @nvidia, and @AnthropicAI on Nov 18 at 1pm PT for a webinar on long-context structure prediction with ESMFold2.
Register: biohub.zoom.us/webinar/regis…
NVIDIA Healthcare retweeted
Can LLMs simulate biology?
We tested frontier models on real lab experiments: predict how cells respond to drugs, gene knockdowns, and immune signals. Even the best get only part of the response right. Lots of room to improve.
Introducing BioSimBench, built on @NVIDIAAI. 🧵
NVIDIA Parabricks DeepVariant and DeepSomatic are now available in the Sarek pipeline on @nf_core.
🧬 This adds to the growing library of GPU accelerated alignment and variant calling tools available in Sarek.
Try it 👉 nvda.ws/4imyJX5
ALT Infographic of genomic analysis pathways with various processing stages and module icons.
NVIDIA Healthcare retweeted
🚀 Excited to share BindClaw! 🦀
Starting from a prompt or research paper, BindClaw connects biological mechanisms to protein design: identify targets and binding sites → build mechanism-specific computational assays → generate and assess binders → refine designs using the results.
We use agents to evaluate whether designs fit the intended biological objective, including competition with a native partner and preference for a particular molecular state. 🧬
In a human-guided calmodulin campaign, 15 of 18 designs showed binding to calcium-loaded CaM, including subnanomolar binders supported by both BLI and SPR.
This work is an incredible team effort together with @DidiKieran , @saint__ai, @ Kyle Gion and @sacdallago and many others!
📄paper/project: research.nvidia.com/labs/dbr…
💻code: will be released in a few weeks!
🎃 All treats, no tricks.
Run RFD4-Proteina on RTX PRO 6000 GPUs on @huggingface, free until Nov 4. You can design proteins in your browser without installing anything. huggingface.co/spaces/nvidia…
NVIDIA Healthcare retweeted
I was the opening act for a family of ducks.
Thank you, Berlin. What a GTC.
Europe is building its AI ecosystem and economy, from AI factories to agents to robots.
DSX POD: Vera Rubin modular factories built, cabled and tested in the factory, then delivered ready to produce intelligence.
Agents: models, harnesses, sandboxes, knowledge and tools. NVIDIA Agent Toolkit brings the pieces together so companies control what their agents know, access and do. NVIDIA OpenShell enhances safety.
Physical AI: new customers across AI-RAN, robotaxis and robotics.
Personal AI: after four years building with Microsoft, RTX Spark brings personal agents to the Windows PC.
Thank you to President @EmmanuelMacron, Prime Minister @andyburnham and Chancellor @bundeskanzler for hosting me. Great to celebrate Sferical One with Sweden’s technology leaders. And thank you to President @TokayevKZ for the warm welcome.
And to our partners and NVIDIA teams: thank you for making it happen.
The keynote is here: youtu.be/rF1EsryCAwc
NVIDIA Healthcare retweeted
@NVIDIAHealth and the Institute for Protein Design, led by Nobel laureate David Baker, just released RFD4-Proteina today at GTC Berlin, an open model that designs a protein’s sequence and structure together against a target. Apheris is a launch distribution partner. We run RFD4-Proteina on your own GPUs, inside your environment, and you can fine-tune it on your own structures and assays to design VHHs, antibodies, binders and enzymes and customize it to your chemistry.
🧬@LilaSciences explores a B-cell lymphoma therapy with NVIDIA Nemotron and Agent Toolkit for planning, plus BioNeMo models for millions of virtual experiments.
Robots make and test promising candidates, using the results to guide the next round.
NVIDIA Healthcare retweeted
This is what a communal brain—a central tenet of the IPD approach—looks like in action. 🧠
We're thrilled to present RFD4-Proteina, co-developed with @NVIDIAHealth! Can't wait to see what you build: rfd4-proteina.org/
🧬 Design proteins faster and send fewer, better candidates to the lab.
Introducing RFD4-Proteina, a new NVIDIA BioNeMo open model co-developed with @UWproteindesign.
▫️Fast: 13× faster generation than RFdiffusion3 at 200 residues
▫️ Smart: state-of-the-art across 12+ protein design tasks
▫️ Programmable: set your design inputs and use test-time compute on harder problems
Start with our binder-design tutorial nvda.ws/3VK9Uvr
NVIDIA Healthcare retweeted
RFD4-Proteina, co-developed by @UWproteindesign @UWMedicine & @NVIDIAHealth, debuts today at GTC Berlin. The open-source generative model will use biomolecular reasoning to find new protein solutions for medicine, sustainability, materials & biotech. tinyurl.com/3pw3jn92
ALT Members of the RDF4 modeling team run tests at the UW Medicine Institute for Protein Design. Credit: Sierra Adler/IPD
NVIDIA Healthcare retweeted
Today at GTC, we’re excited to announce our collaboration with Bristol Myers Squibb to bring the latest Boltz models into BMS’s drug discovery workflows. @bmsnews @boltz_bio 🚀🧵
NVIDIA Healthcare retweeted
We just merged the first protein sequence design model RFD4-Proteina in Diffusers 🔥
I hope this pushes the state of open BioML further.
Kudos to @NVIDIAAI and Baker Lab for shipping this!
Check out the docs to know more:
huggingface.co/docs/diffuser…
NVIDIA Healthcare retweeted
New from Benchling and @NVIDIAAI:
Scientists and AI agents will be able to access RFD4-Proteina for generative protein design through Benchling Model Hub.
benchling.com/blog/building-…
🔬 RFD4-Proteina joins Nemotron, Kumo, Cosmos, Alpamayo and Ising in today's NVIDIA open model release.
We’re releasing more open models to help teams across Europe build AI with their own data, on infrastructure they control.
Announced at GTC Berlin, the models help developers, researchers and enterprises build specialized AI agents, train robots, design proteins and develop quantum computers.
See what’s new: nvda.ws/4iwBMvF
Personalized cancer care for more patients, everywhere.
Together with @SiemensHealth, we're developing the next generation of adaptive radiotherapy to simplify workflows and expand access to care.
🧬 Design proteins faster and send fewer, better candidates to the lab.
Introducing RFD4-Proteina, a new NVIDIA BioNeMo open model co-developed with @UWproteindesign.
▫️Fast: 13× faster generation than RFdiffusion3 at 200 residues
▫️ Smart: state-of-the-art across 12+ protein design tasks
▫️ Programmable: set your design inputs and use test-time compute on harder problems
Start with our binder-design tutorial nvda.ws/3VK9Uvr
🚀 Run it as a NIM microservice build.nvidia.com/ipd/rfd4-pr…
💻 Get the open model on GitHub github.com/RosettaCommons/RF…
📣 Read the BioNeMo news from #NVIDIAGTC Berlin nvidianews.nvidia.com/news/h…