NVIDIA Healthcare (@NVIDIAHealth) / X

NVIDIA Healthcare

1,492 posts

NVIDIA Healthcare

@NVIDIAHealth

The official handle for #NVIDIAHealthcare. Helping the scientific and developer community advance research, diagnostics, and patient care with #AI.

Joined October 2020

Pinned
NVIDIA Healthcare
@NVIDIAHealth
Jun 23
Science is entering a new era - one where AI agents can do scientific work. 🧬 Today NVIDIA is launching the BioNeMo Agent Toolkit - an open, agent-ready toolkit that gives any AI agent callable tools for protein structure prediction, molecular docking, generative chemistry,
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NVIDIA Healthcare
@NVIDIAHealth
Sep 10, 2025
🧬La-Proteina🧬 The first generative model demonstrating accurate co-design of fully atomistic protein structures (sequence + side-chains + backbone) at scale, up to 800 residues, with state-of-the-art atomistic motif scaffolding performance - has just made its code open-source!
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NVIDIA Healthcare
@NVIDIAHealth
Feb 19, 2025
👋 Meet Evo 2: @arcinstitute new AI model revolutionizing genomic research With 9 trillion nucleotides of data, Evo 2 is available on the NVIDIA BioNeMo platform & is ready to accelerate discoveries in healthcare, biotech & more.
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NVIDIA Healthcare
@NVIDIAHealth
Feb 19, 2025
🧬 Evo 2 isn’t just an AI model—it represents a foundational shift in how we understand and design life, bridging molecules, systems, and organisms. The next era of biology has arrived, and there is no shortcut to long-context models. #NVIDIAhealthcare #NVIDIANIM
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NVIDIA Healthcare
@NVIDIAHealth
Nov 29, 2021
NVIDIA is open-sourcing NVIDIA FLARE, a software development kit for federated learning that enables collaboration between distributed parties to develop more generalizable AI models. #RSNA21 nvda.ws/32w6fp8
NVIDIA Healthcare
@NVIDIAHealth
Mar 18, 2025
📣 NVIDIA Isaac for Healthcare Announced at #GTC25, this is an AI-powered medical robotics development platform. Developers can use a digital twin and robotic learning framework to build, test, and model smart healthcare robotic systems.
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NVIDIA Healthcare
@NVIDIAHealth
Jan 13, 2025
🚨 NVIDIA partners with healthcare leaders @arcinstitute @illumina @IQVIA_global @MayoClinic to accelerate computing with NVIDIA AI and transform a $10 Trillion industry. #agenticai #drugdiscovery #bionemo #monai #jpm25 Read Now ➡️ nvda.ws/4fUb4sA
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NVIDIA Healthcare
@NVIDIAHealth
Nov 19, 2024
Available now - Open-source NVIDIA BioNeMo Framework 🌟 Build better models faster for #drugdiscovery with GPU-accelerated programming tools. Train large models in days, not weeks. #AI #healthcare Read more 👉 nvda.ws/3CtKybh
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NVIDIA Healthcare
@NVIDIAHealth
Aug 4, 2025
🚀 The NVIDIA Boltz-2 NIM microservice just got an upgrade: binding‑affinity prediction is now live, at 2-3x speedup over open-source with cuEquivariance and TensorRT! Co‑fold proteins and estimate ligand affinity in one shot. #AIForScience #DrugDiscovery #NVIDIANIM
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NVIDIA Healthcare
@NVIDIAHealth
Nov 18, 2024
🔉You heard it at #SC24, NVIDIA #BioNeMo Framework is now open-source. Researchers worldwide can accelerate the development of life-saving treatments by tapping into the collection of accelerated programming tools for biomolecular research. #drugdiscovery Read release ➡️
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NVIDIA Healthcare
@NVIDIAHealth
Nov 5, 2025
From code → complex structures 🧬 Meet OpenFold3 NIM: A production-ready model for predicting proteins, nucleic acids & ligands at lightning speed. Dive in 👉 nvda.ws/3JxauqA
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NVIDIA Healthcare
@NVIDIAHealth
Sep 23, 2025
🧬 Evo 2 reads a whole genome like a book. It can see patterns from a few DNA letters to entire chromosomes, thanks to a mix of zoom-lenses: 🔍 Close-up (motifs) 🔎 Mid-range (genes) 🌍 Global (long-range control) Details in 🧵
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NVIDIA Healthcare
@NVIDIAHealth
Mar 18, 2025
🚨 Exciting news in the world of healthcare robotics at #GTC25 🤖 NVIDIA and GE HealthCare advance the development of autonomous diagnostic imaging with NVIDIA Isaac for Healthcare, a medical device simulation platform.
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NVIDIA Healthcare
@NVIDIAHealth
Sep 16, 2025
🚀 AI-native biology at scale requires hardware-software codesign: Now, OpenFold + TensorRT + MMseqs2‑GPU on NVIDIA RTX PRO 6000 Blackwell Server Edition brings folding to 15.9s/protein (being more than 100x faster) with AF2‑level quality. 👇 Read this preprint from NVIDIA
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