1. [Industries](/industries/overview) 2. Healthcare and Life Sciences # Developer Resources for Healthcare and Life Sciences A suite of computing platforms, software, and services that powers AI solutions for healthcare and life sciences, from imaging and instruments to genomics and drug discovery. Segments: - Digital Biology - Digital Health - Digital Devices Agent file: https://developer.nvidia.com/w/meta/healthcare/llms.txt ## NVIDIA AI Infrastructure | title | featured | document_url | technologies | document_date | short_summary | document_title | learning_level | x_content_types | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Generative Protein Binder Design Pipeline | true | https://build.nvidia.com/nvidia/protein-binder-design-for-drug-discovery | BioNeMo, NVIDIA AI Blueprint | 2026-06-05T00:00:00.000Z | Blueprint workflow for de novo protein binder design; not a standalone NIM/API. | Generative Protein Binder Design Pipeline | Developer | Deployment, Blueprint | | AlphaFold2-Multimer NIM | false | https://build.nvidia.com/deepmind/alphafold2-multimer | BioNeMo, NVIDIA NIM | 2026-06-05T00:00:00.000Z | Hosted build.nvidia NIM/API for protein complex structure; container separate. | AlphaFold2-Multimer NIM | Developer | Deployment, Nim, Hosted nim/api | | La-Proteina | true | https://catalog.ngc.nvidia.com/orgs/nvidia/teams/clara/collections/laproteina_weights_data/artifacts | BioNeMo | 2026-01-28T00:00:00.000Z | Model weights/code for all-atom protein generation; not hosted NIM inference. | La-Proteina | Developer | Model, Model weights | | ProteinMPNN NIM | false | https://build.nvidia.com/ipd/proteinmpnn | BioNeMo, NVIDIA NIM | 2026-06-05T00:00:00.000Z | Hosted build.nvidia NIM/API for protein sequence design; docs define schema. | ProteinMPNN NIM | Developer | Deployment, Nim, Hosted nim/api | | MSA Search NIM | false | https://build.nvidia.com/colabfold/msa-search | BioNeMo, NVIDIA NIM | 2026-06-05T00:00:00.000Z | Hosted build.nvidia NIM/API for multiple sequence alignment generation. | MSA Search NIM | Developer | Deployment, Nim, Hosted nim/api | | OpenFold3 NIM | false | https://build.nvidia.com/openfold/openfold3 | BioNeMo, NVIDIA NIM | 2026-01-20T00:00:00.000Z | Hosted build.nvidia NIM/API for protein/DNA/RNA/ligand structure prediction. | OpenFold3 NIM | Developer | Deployment, Nim, Hosted nim/api | | RNAPro | false | https://catalog.ngc.nvidia.com/orgs/nvidia/teams/clara/resources/rnapro | BioNeMo | 2025-12-01T00:00:00.000Z | Model weights/code for RNA 3D structure prediction with RNA foundation models. | RNAPro | Developer | Model, Understand, Model weights | | MolMIM NIM | false | https://build.nvidia.com/nvidia/molmim-generate | BioNeMo, NVIDIA NIM | 2026-06-05T00:00:00.000Z | Hosted build.nvidia NIM/API for molecule generation; docs define schema. | MolMIM NIM | Developer | Deployment, Nim, Hosted nim/api | | DiffDock NIM | false | https://build.nvidia.com/mit/diffdock | BioNeMo, NVIDIA NIM | 2025-11-15T00:00:00.000Z | Hosted build.nvidia NIM/API for protein-ligand blind docking; use NIM docs. | DiffDock NIM | Developer | Deployment, Nim, Hosted nim/api | | Boltz-2 NIM | false | https://build.nvidia.com/mit/boltz2 | BioNeMo, NVIDIA NIM | 2026-02-01T00:00:00.000Z | Hosted build.nvidia NIM/API for biomolecular structure and affinity prediction. | Boltz-2 NIM | Developer | Deployment, Nim, Hosted nim/api | | GenMol | false | https://build.nvidia.com/nvidia/genmol-generate | BioNeMo, NVIDIA NIM | 2025-11-20T00:00:00.000Z | Molecule generation model with hosted NIM/API plus code and weights. | GenMol | Developer | Model, Design, Hosted nim/api | | BioNeMo Framework | true | https://docs.nvidia.com/bionemo-framework/latest/ | BioNeMo, BioNeMo Framework | 2025-10-01T00:00:00.000Z | Framework/code/weights for training and fine-tuning; use NIM cards for API. | BioNeMo Framework | Developer | Training, Code | | OpenFold2 NIM | false | https://build.nvidia.com/openfold/openfold2 | BioNeMo, NVIDIA NIM | 2026-06-05T00:00:00.000Z | Hosted build.nvidia NIM/API for protein structure from sequence, MSA, template. | OpenFold2 NIM | Developer | Deployment, Nim, Hosted nim/api | | Parabricks | false | https://docs.nvidia.com/clara/parabricks/latest/ | BioNeMo, Parabricks | 2025-08-01T00:00:00.000Z | GPU genomics analysis docs; adjacent to BioNeMo, not a BioNeMo NIM. | Parabricks | Developer | Library & tool, Documentation | | cuEquivariance | false | https://github.com/NVIDIA/cuEquivariance | BioNeMo | 2025-11-10T00:00:00.000Z | Code route for optimized equivariant kernels in structure and molecular models. | cuEquivariance | Developer | Library & tool, Code | | cuik-molmaker | false | https://github.com/NVIDIA-Digital-Bio/cuik-molmaker | BioNeMo | 2026-06-05T00:00:00.000Z | Code route for molecular featurization for Chemprop-style GNN workflows. | cuik-molmaker | Developer | Library & tool, Code | | nvMolKit | false | https://github.com/NVIDIA-Digital-Bio/nvMolKit | BioNeMo | 2025-12-15T00:00:00.000Z | Code route for GPU cheminformatics: fingerprints, clustering, conformers, search. | nvMolKit | Developer | Library & tool, Code | | JEPA-DNA | false | https://github.com/NVIDIA-Digital-Bio/JEPA-DNA | BioNeMo | 2026-06-05T00:00:00.000Z | Code route for genomic foundation modeling with joint-embedding predictive objectives. | JEPA-DNA | Developer | Model, Understand, Code | | maxToki | false | https://huggingface.co/theodoris-lab/MaxToki | BioNeMo | 2026-06-05T00:00:00.000Z | Model weights/code for single-cell language modeling; not hosted NIM inference. | maxToki | Developer | Model, Understand, Model weights | | GFMBench-API | false | https://github.com/NVIDIA/GFMBench-api | BioNeMo | 2026-04-28T00:00:00.000Z | Code route for benchmarking genomic foundation models with standard tasks and metrics. | GFMBench-API | Developer | Library & tool, Code | | f-RAG | false | https://github.com/NVlabs/f-RAG | BioNeMo | 2026-06-05T00:00:00.000Z | Code route for fragment retrieval-augmented molecule generation and optimization. | f-RAG | Developer | Model, Design, Code | | Single Cell Analysis Blueprint | false | https://build.nvidia.com/nvidia/single-cell-analysis | BioNeMo, NVIDIA AI Blueprint | 2026-06-05T00:00:00.000Z | Blueprint workflow for GPU single-cell analysis; not a hosted NIM/API. | Single Cell Analysis Blueprint | Developer | Deployment, Blueprint, Code | | Genomics Analysis Blueprint | false | https://build.nvidia.com/nvidia/genomics-analysis | BioNeMo, NVIDIA AI Blueprint | 2026-06-05T00:00:00.000Z | Blueprint workflow for germline genomics analysis with Parabricks. | Genomics Analysis Blueprint | Developer | Deployment, Blueprint, Code | | Proteina-Complexa | true | https://catalog.ngc.nvidia.com/orgs/nvidia/teams/clara/models/proteina_complexa | BioNeMo | 2026-03-15T00:00:00.000Z | Model weights/code route for protein binder design against protein or small-molecule targets. | Proteina-Complexa | Developer | Model, Model weights | | Digital Biology Examples | false | https://github.com/NVIDIA/digital-biology-examples | BioNeMo, BioNeMo Framework | 2026-06-05T00:00:00.000Z | Code route for Digital Biology examples that compose BioNeMo workflows. | Digital Biology Examples | Developer | Training, Code | | Proteina | false | https://catalog.ngc.nvidia.com/orgs/nvidia/teams/clara/collections/proteina_weights_data | BioNeMo | 2025-12-10T00:00:00.000Z | Model weights/code for flow-based protein backbone generation with fold-class conditioning. | Proteina | Developer | Model, Design, Model weights | | ProtComposer | false | https://github.com/NVlabs/protcomposer/tree/main/model_weights | BioNeMo | 2026-02-05T00:00:00.000Z | Model weights/code route for spatially conditioned protein structure generation. | ProtComposer | Developer | Model, Design, Model weights | | AlphaFold3 NIM | false | https://build.nvidia.com/deepmind/alphafold3 | BioNeMo, NVIDIA NIM | 2026-06-05T00:00:00.000Z | Hosted build.nvidia NIM/API for proteins, nucleic acids, ligands, and ions. | AlphaFold3 NIM | Developer | Deployment, Nim, Hosted nim/api | | CodonFM | true | https://catalog.ngc.nvidia.com/orgs/nvidia/teams/clara/models/nv_codonfm_encodon | BioNeMo | 2026-02-20T00:00:00.000Z | Model weights/code for codon-level RNA modeling; not hosted NIM inference. | CodonFM | Developer | Model, Model weights | | VariantWorks | false | https://github.com/NVIDIA/VariantWorks | BioNeMo | 2026-06-05T00:00:00.000Z | Code route for deep-learning-based genomic variant calling. | VariantWorks | Developer | Library & tool, Code | | nvQSP | false | https://github.com/NVIDIA-Digital-Bio/nvQSP | BioNeMo | 2026-06-05T00:00:00.000Z | Code route for GPU QSP/PBPK ODE solvers for virtual patient simulations. | nvQSP | Developer | Library & tool, Code | | BioNeMo-Noodles | false | https://docs.nvidia.com/bionemo-framework/latest/main/developer-guide/bionemo-noodles/bionemo-noodles-Overview/ | BioNeMo, BioNeMo Framework | 2026-06-05T00:00:00.000Z | Framework subpackage for memory-mapped FASTA; not hosted NIM inference. | BioNeMo-Noodles | Developer | Library & tool, Documentation, Code | | BioNeMo-SCDL | false | https://docs.nvidia.com/bionemo-framework/latest/main/developer-guide/bionemo-scdl/bionemo-scdl-Overview/index.html | BioNeMo, BioNeMo Framework | 2026-06-05T00:00:00.000Z | Framework subpackage for scalable single-cell data loading; not hosted NIM. | BioNeMo-SCDL | Developer | Library & tool, Documentation, Code | | BioNeMo-MoCo | false | https://docs.nvidia.com/bionemo-framework/latest/main/developer-guide/bionemo-moco/bionemo-moco-Overview/ | BioNeMo, BioNeMo Framework | 2026-06-05T00:00:00.000Z | Framework subpackage for diffusion/flow models; not hosted NIM inference. | BioNeMo-MoCo | Developer | Library & tool, Documentation, Code | | Evo2 Protein Design Blueprint | false | https://build.nvidia.com/nvidia/evo2-protein-design | BioNeMo, NVIDIA AI Blueprint | 2026-06-05T00:00:00.000Z | Blueprint workflow around Evo2; use Evo2-40B NIM for hosted inference. | Evo2 Protein Design Blueprint | Developer | Deployment, Blueprint | | AlphaFold Database of Protein Complexes | false | https://alphafold.ebi.ac.uk/ | BioNeMo | 2026-03-01T00:00:00.000Z | Dataset of predicted protein complexes for interaction biology and drug discovery. | AlphaFold Database of Protein Complexes | Developer | Data, Dataset | | ReaSyn | false | https://catalog.ngc.nvidia.com/orgs/nvidia/teams/clara/resources/nv-reasyn-ar-166m-v1.ckpt?version=1.0 | BioNeMo | 2026-01-15T00:00:00.000Z | Model weights/code route for synthesis pathway prediction from building blocks to products. | ReaSyn | Developer | Model, Optimize, Model weights | | Megalodon | false | https://catalog.ngc.nvidia.com/orgs/nvidia/teams/clara/collections/megalodon | BioNeMo | 2025-10-15T00:00:00.000Z | Model weights/code route for 3D molecule generation with equivariant graph transformers. | Megalodon | Developer | Model, Design, Model weights | | DualBind | false | https://catalog.ngc.nvidia.com/orgs/nvidia/teams/clara/resources/dualbind_v1_toxbench | BioNeMo | 2025-10-20T00:00:00.000Z | Model weights/code for protein-ligand affinity; scoped to HER-alpha. | DualBind | Developer | Model, Optimize, Model weights | | Evo2-40B NIM | false | https://build.nvidia.com/arc/evo2-40b | BioNeMo, NVIDIA NIM | 2025-12-05T00:00:00.000Z | Hosted build.nvidia Evo2-40B NIM/API; use docs. Framework/Blueprint separate. | Evo2-40B NIM | Developer | Deployment, Nim, Hosted nim/api | | warpKAN | false | https://github.com/NVIDIA-Digital-Bio/warpKAN | BioNeMo | 2026-06-05T00:00:00.000Z | Code route for GPU-accelerated Kolmogorov-Arnold Networks with NVIDIA Warp. | warpKAN | Developer | Library & tool, Code | | Consistency Distilled Synthetic Protein Database | false | https://catalog.ngc.nvidia.com/orgs/nvidia/teams/clara/resources/proteina-atomistica_data?version=release | BioNeMo | 2025-12-20T00:00:00.000Z | Dataset of curated protein sequence-structure pairs for training and benchmarks. | Consistency Distilled Synthetic Protein Database | Developer | Data, Dataset | | Generative Virtual Screening Pipeline | true | https://build.nvidia.com/nvidia/generative-virtual-screening-for-drug-discovery | BioNeMo, NVIDIA AI Blueprint | 2026-06-05T00:00:00.000Z | Blueprint workflow for molecule generation, docking, and optimization. | Generative Virtual Screening Pipeline | Developer | Deployment, Blueprint | | Biomedical AI-Q Research Agent Blueprint | false | https://build.nvidia.com/nvidia/biomedical-aiq-research-agent | BioNeMo, NVIDIA AI Blueprint | 2026-06-05T00:00:00.000Z | Blueprint workflow for biomedical research agents; not a BioNeMo NIM/API. | Biomedical AI-Q Research Agent Blueprint | Developer | Deployment, Blueprint, Code | | Context Parallelism (boltz-cp) | false | https://github.com/NVIDIA-Digital-Bio/boltz-cp | BioNeMo, BioNeMo Framework | 2026-06-05T00:00:00.000Z | Code route for long-sequence parallelism in protein structure prediction models. | Context Parallelism (boltz-cp) | Developer | Training, Code | | AlphaFold2 NIM | false | https://build.nvidia.com/deepmind/alphafold2 | BioNeMo, NVIDIA NIM | 2026-06-05T00:00:00.000Z | Hosted build.nvidia NIM/API for monomer protein structure; container separate. | AlphaFold2 NIM | Developer | Deployment, Nim, Hosted nim/api | | RFDiffusion NIM | false | https://build.nvidia.com/ipd/rfdiffusion | BioNeMo, NVIDIA NIM | 2026-06-05T00:00:00.000Z | Hosted build.nvidia NIM/API for protein backbone/binder design; container separate. | RFDiffusion NIM | Developer | Deployment, Nim, Hosted nim/api | | AvgFlow | false | https://catalog.ngc.nvidia.com/orgs/nvidia/teams/clara/collections/avgflow | BioNeMo | 2026-01-10T00:00:00.000Z | Model weights/code for molecular 3D conformers; not hosted NIM inference. | AvgFlow | Developer | Model, Design, Model weights | | ESM2-650M NIM | false | https://build.nvidia.com/meta/esm2-650m | BioNeMo, NVIDIA NIM | 2026-06-05T00:00:00.000Z | Hosted build.nvidia NIM/API for protein language-model embeddings. | ESM2-650M NIM | Developer | Deployment, Nim, Hosted nim/api | | ESMFold NIM | false | https://build.nvidia.com/meta/esmfold | BioNeMo, NVIDIA NIM | 2026-06-05T00:00:00.000Z | Hosted build.nvidia NIM/API for fast single-sequence protein structure. | ESMFold NIM | Developer | Deployment, Nim, Hosted nim/api | | KERMT | false | https://github.com/NVIDIA-Digital-Bio/KERMT | BioNeMo | 2025-11-01T00:00:00.000Z | Code route for ADMET property prediction; fine-tune before inference. | KERMT | Developer | Model, Optimize, Code | | Pangenome Aware DeepVariant | false | https://docs.nvidia.com/clara/parabricks/latest/documentation/tooldocs/man_pangenome_aware_deepvariant.html | Parabricks | 2026-03-10T04:00:00.000Z | Pangenome-aware DeepVariant is an enhanced version of Google's DeepVariant that leverages pangenome reference graphs (GBZ files) to improve variant calling accuracy, particularly in complex and highly variable genomic regions. | Pangenome Aware DeepVariant | Developer | Library & tool, Documentation | | FQ2BAM (BWA-MEM) | false | https://docs.nvidia.com/clara/parabricks/latest/documentation/tooldocs/man_fq2bam.html | Parabricks | 2026-03-10T04:00:00.000Z | Part of Burrows-Wheeler Aligner (BWA) bioinformatics software package to provide fast, accurate algorithm for mapping DNA sequence reads to a reference genome. | FQ2BAM (BWA-MEM) | Developer | Library & tool, Documentation | | nvFLARE | false | https://github.com/NVIDIA/NVFlare | FLARE | 2026-03-09T04:00:00.000Z | NVFlare (NVIDIA Federated Learning Application Runtime Environment) is an open-source, domain-agnostic Python SDK that provides a secure, extensible framework for collaborative computing, enabling researchers to adapt existing machine learning and data science workflows to a federated paradigm without centralizing sensitive data. | nvFLARE | Developer | Library & tool, Documentation, Code | | DeepSAP | false | https://catalog.ngc.nvidia.com/orgs/nvidia/teams/clara/containers/clara-parabricks-deepsap?version=v0.0.3 | Parabricks | 2026-03-10T04:00:00.000Z | Enhance RNA-seq alignment by combining it with Transformer based Splice Junction Scoring (TSJS). TSJS alone improves accuracy when applied with additional tools including STAR. | DeepSAP | Developer | Library & tool, Code | | STAR (rna_fq2bam) | false | https://docs.nvidia.com/clara/parabricks/latest/documentation/tooldocs/man_rna_fq2bam.html | Parabricks | 2026-03-10T04:00:00.000Z | Spliced Transcripts Alignment to a Reference (STAR). Software tool for aligning RNA sequencing (RNA-seq) reads to a reference genome. | STAR (rna_fq2bam) | Developer | Library & tool, Documentation | | FQ2BAM_Meth (BWA-Meth) | false | https://docs.nvidia.com/clara/parabricks/latest/documentation/tooldocs/man_fq2bam_meth.html | Parabricks | 2026-03-10T04:00:00.000Z | Accurate alignment of bisulfite-treated DNA sequencing reads (BS-Seq) often used in methylation. | FQ2BAM_Meth (BWA-Meth) | Developer | Library & tool, Documentation | | Minimap2 | false | https://docs.nvidia.com/clara/parabricks/latest/documentation/tooldocs/man_minimap2.html | Parabricks | 2026-03-10T04:00:00.000Z | Sequence alignment tool to align DNA or RNA sequencing reads to a reference genome. Often used for long-read technology from ONT or PacBio. | Minimap2 | Developer | Library & tool, Documentation | | HaplotypeCaller | false | https://docs.nvidia.com/clara/parabricks/latest/documentation/tooldocs/man_haplotypecaller.html | Parabricks | 2026-03-10T04:00:00.000Z | Tool from Genome Analysis Toolkit (GATK) to detect germline/genetic variants. | HaplotypeCaller | Developer | Library & tool, Documentation | | Giraffe | false | https://docs.nvidia.com/clara/parabricks/latest/documentation/tooldocs/man_giraffe.html | Parabricks | 2026-03-10T04:00:00.000Z | Built by UCSC, a short-read mapping tool for pangenome graph alignment. | Giraffe | Developer | Library & tool, Documentation | | RetMol | false | https://github.com/NVlabs/RetMol | BioNeMo | 2026-06-05T00:00:00.000Z | Code route for retrieval-guided molecule generation and property-conditioned design. | RetMol | Developer | Model, Design, Code | | parakeet-1.1b-rnnt-multilingual-asr | false | https://build.nvidia.com/nvidia/parakeet-1_1b-rnnt-multilingual-asr | Riva, NVIDIA NIM | 2026-03-10T04:00:00.000Z | The model transcribes 25 languages in upper case and lower case alphabets along with punctuations, spaces, and apostrophes. | parakeet-1.1b-rnnt-multilingual-asr | Developer | Deployment, Nim, Hosted nim/api | | llama-3.1-nemotron-ultra-253b | false | https://build.nvidia.com/nvidia/llama-3_1-nemotron-ultra-253b-v1 | Nemotron, NVIDIA NIM | 2026-03-10T04:00:00.000Z | Llama-3.1-Nemotron-Ultra-253B-v1 is a large language model (LLM) which is a derivative of Meta Llama-3.1-405B-Instruct | llama-3.1-nemotron-ultra-253b | Developer | Deployment, Nim, Hosted nim/api | | fgbio | false | https://catalog.ngc.nvidia.com/orgs/nvidia/teams/clara/containers/clara-parabricks-umi-fgbio?version=1.4.0-1 | Parabricks | 2026-03-10T04:00:00.000Z | Developed by Fulcrum Genomics, utilize molecular tagging (UMIs) to distinguish actual biological variants from machine sequencing errors, ensuring high-fidelity genomic data analysis. | fgbio | Developer | Library & tool, Code | | DeepVariant | false | https://docs.nvidia.com/clara/parabricks/latest/documentation/tooldocs/man_deepvariant.html | Parabricks | 2026-03-10T04:00:00.000Z | Google's deep-learning based variant caller for germline/genetic variants (i.e., inherited diseases like sickle cell disease). | DeepVariant | Developer | Library & tool, Documentation | | Mutectcaller (Mutect2) | false | https://docs.nvidia.com/clara/parabricks/latest/documentation/tooldocs/man_mutectcaller.html | Parabricks | 2026-03-10T04:00:00.000Z | Tool from Genome Analysis Toolkit (GATK) for somatic variants. | Mutectcaller (Mutect2) | Developer | Library & tool, Documentation | | DeepSomatic | false | https://docs.nvidia.com/clara/parabricks/latest/documentation/tooldocs/man_deepsomatic.html | Parabricks | 2026-03-10T04:00:00.000Z | Google's deep-learning based variant caller for somatic variants (i.e., non-inherited diseases like cancer). | DeepSomatic | Developer | Library & tool, Documentation | | LLAMA3-VILA-M3-13B | false | https://huggingface.co/MONAI/Llama3-VILA-M3-13B | MONAI | 2026-03-10T04:00:00.000Z | An advanced multimodal model that analyzes MRI scans to provide structured clinical reasoning and detailed explanations for complex neurological or musculoskeletal findings. | LLAMA3-VILA-M3-13B | Developer | Model, Understand, Model weights | | NVIDIA NeMo | false | https://www.nvidia.com/en-us/ai-data-science/products/nemo/ | NeMo | 2026-03-10T04:00:00.000Z | NeMo is a modular, interoperable, enterprise-ready software suite for managing the AI agent lifecycle, and can be used to develop digital health solutions. | NVIDIA NeMo | Developer | Library & tool, Documentation, Code | | Generate-CT | false | https://huggingface.co/nvidia/NV-Generate-CT | MONAI | 2026-03-10T04:00:00.000Z | This 3D latent diffusion model synthesizes high-resolution, realistic 3D CT volumes alongside paired segmentation masks to help augment limited medical training datasets. | Generate-CT | Developer | Model, Design, Model weights | | Segment-CT | false | https://huggingface.co/nvidia/NV-Segment-CT | MONAI | 2026-03-10T04:00:00.000Z | This 3D foundation model provides out-of-the-box automatic and interactive point-click segmentation for 132 anatomical classes in computed tomography (CT) scans. | Segment-CT | Developer | Model, Understand, Model weights | | llama-3.3-nemotron-super-49b | false | https://build.nvidia.com/nvidia/llama-3_3-nemotron-super-49b-v1_5 | Nemotron, NVIDIA NIM | 2026-03-10T04:00:00.000Z | Llama-3.3-Nemotron-Super-49B-v1.5 is a reasoning model that is post trained for reasoning, human chat preferences, and agentic tasks, such as RAG and tool calling. | llama-3.3-nemotron-super-49b | Developer | Deployment, Nim, Hosted nim/api | | Reason-CXR | false | https://huggingface.co/nvidia/NV-Reason-CXR-3B | MONAI | 2026-03-10T04:00:00.000Z | a specialized vision-language model designed for medical reasoning and interpretation of chest X-ray images, with detailed explanations. The model combines visual understanding with medical reasoning capabilities, enabling healthcare professionals to access comprehensive analyses and engage in follow-up discussions about radiological findings | Reason-CXR | Developer | Model, Understand, Model weights | | nemotron-3-nano-30b-a3b | false | https://build.nvidia.com/nvidia/nemotron-3-nano-30b-a3b | Nemotron, NVIDIA NIM | 2026-03-10T04:00:00.000Z | Nemotron-3-Nano-30B-A3B is a large language model (LLM) trained from scratch and designed as a unified model for both reasoning and non-reasoning tasks | nemotron-3-nano-30b-a3b | Developer | Deployment, Nim, Hosted nim/api | | STAR-Fusion | false | https://docs.nvidia.com/clara/parabricks/latest/documentation/tooldocs/man_starfusion.html | Parabricks | 2026-03-10T04:00:00.000Z | Tool designed to detect gene fusion transcripts using RNA-Seq data-particularly from Illumina sequencing platforms. | STAR-Fusion | Developer | Library & tool, Documentation | | parakeet-ctc-0.6b-asr | false | https://build.nvidia.com/nvidia/parakeet-ctc-0_6b-asr | Riva, NVIDIA NIM | 2026-03-10T04:00:00.000Z | Parakeet transcribes audio into text, using spaces and apostrophes where needed | parakeet-ctc-0.6b-asr | Developer | Deployment, Nim, Hosted nim/api | | Segment-CTMR | false | https://huggingface.co/nvidia/NV-Segment-CTMR | MONAI | 2026-03-10T04:00:00.000Z | Expanding on its predecessor, this model automates the detailed segmentation of over 345 anatomical and pathological classes across both CT and magnetic resonance imaging (MRI) modalities. | Segment-CTMR | Developer | Model, Understand, Model weights | | magpie-tts-multilingual | false | https://build.nvidia.com/nvidia/magpie-tts-multilingual | Riva, NVIDIA NIM | 2026-03-10T04:00:00.000Z | The Magpie TTS Multilingual model converts text into audio (speech). | magpie-tts-multilingual | Developer | Deployment, Nim, Hosted nim/api | | parakeet-ctc-1.1b-asr | false | https://build.nvidia.com/nvidia/parakeet-ctc-1_1b-asr | Riva, NVIDIA NIM | 2026-03-10T04:00:00.000Z | Parakeet transcribes audio into text, using spaces and apostrophes where needed | parakeet-ctc-1.1b-asr | Developer | Deployment, Nim, Hosted nim/api | | NVIDIA Riva | false | https://www.nvidia.com/en-us/ai-data-science/products/riva/ | Riva | 2026-03-10T04:00:00.000Z | NVIDIA Riva is a collection of GPU-accelerated microservices for building real-time, customizable speech AI functionality into your digital health applications. | NVIDIA Riva | Developer | Library & tool, Documentation | | Generate-MR | false | https://huggingface.co/nvidia/NV-Generate-MR | MONAI | 2026-03-10T04:00:00.000Z | Similar to the CT variant, this generative AI model creates diverse, high-quality synthetic 3D MRI scans across various contrast modalities to supplement research data. | Generate-MR | Developer | Model, Design, Model weights | | BioNeMo Recipes | false | https://github.com/NVIDIA/bionemo-framework/tree/main/bionemo-recipes | BioNeMo | 2026-03-10T04:00:00.000Z | BioNeMo Recipes is a collection of reference implementations and step-by-step guides that demonstrate how to efficiently scale and optimize the training of biological foundation models using NVIDIA Transformer Engine and popular open-source frameworks. | BioNeMo Recipes | Developer | Training, Code | | Generate-MR-Brain | false | https://huggingface.co/nvidia/NV-Generate-MR-Brain | MONAI | 2026-03-12T04:00:00.000Z | This generative model synthesizes high-fidelity, 3D T1-weighted brain MRI volumes from noise, providing a powerful tool for creating diverse synthetic datasets to train other medical imaging algorithms. | Generate-MR-Brain | Developer | Model, Design, Model weights | | Cosmos-H-Surgical | false | https://github.com/NVIDIA-Medtech/Cosmos-H-Surgical | Isaac for Healthcare | 2026-06-10T18:20:08.000Z | Cosmos-H-Surgical delivers high-quality video prediction and transfer for surgical scenes, including future-state simulation and control-conditioned generation across modalities. | Cosmos-H-Surgical | Developer | Model, Design, Code | | Rheo | false | https://github.com/isaac-for-healthcare/i4h-workflows/tree/main/workflows/rheo | Isaac for Healthcare, NVIDIA AI Blueprint | 2026-06-05T10:11:24.000Z | Rheo is a blueprint for smart hospital automation, providing a simulation-first pipeline for healthcare robotics under NVIDIA Isaac for Healthcare. | Rheo | Developer | Deployment, Blueprint, Code | | Holoscan SDK | false | https://nvidia-holoscan.github.io/ | NVIDIA Holoscan | 2026-05-31T10:45:55.000Z | Holoscan is an open-source library for building multi-modal, multi-rate processing pipelines with accelerated I/O and TensorRT-powered inference in Python or C++ | Holoscan SDK | Developer | Library & tool, Documentation | | magpie-tts-zeroshot | false | https://build.nvidia.com/nvidia/magpie-tts-zeroshot | Riva, NVIDIA NIM | 2026-03-10T04:00:00.000Z | The Magpie TTS Zeroshot model converts text into audio (speech). | magpie-tts-zeroshot | Developer | Deployment, Nim, Hosted nim/api | | Open-H | false | https://github.com/open-h/open-h-embodiment | Isaac for Healthcare | 2026-06-04T17:44:57.000Z | Open-H-Embodiment is a community-driven dataset initiative building the open, shared foundation needed to train and evaluate a generalist Vision-Language-Action (VLA) model for healthcare robotics | Open-H | Developer | Data, Dataset | | GROOT-H | false | https://github.com/NVIDIA-Medtech/GR00T-H | Isaac for Healthcare | 2026-06-01T05:28:10.000Z | GR00T-H is a vision-language-action foundation model with specialized tooling to unify and train across diverse surgical robotics datasets. | GROOT-H | Developer | Model, Robotics, Code | | Raw2Insights-US | false | https://huggingface.co/nvidia/NV-Raw2Insights-US | MONAI | 2026-03-12T04:00:00.000Z | Physics-informed AI model for real-time ultrasound autofocusing using raw channel data. | Raw2Insights-US | Developer | Model, Understand, Model weights | | Raw2Insights-MRI | false | https://huggingface.co/nvidia/NV-Raw2insights-MRI | MONAI | 2026-03-11T04:00:00.000Z | Accelerated MR reconstruction model supporting a wide range of MRI protocols. | Raw2Insights-MRI | Developer | Model, Understand, Model weights | [Download the raw results data (JSON)](https://developer.nvidia.com/search-data/healthcare.json) ## Get Started With Healthcare and Life Sciences Use Cases Digital Biology Digital Health Digital Devices ### Generative Protein Binder Design Intelligently pre-optimize and screen protein binders, dramatically accelerating and improving the drug discovery process. - [Read the Tech Blog](https://developer.nvidia.com/blog/accelerate-protein-engineering-with-the-nvidia-bionemo-blueprint-for-generative-protein-binder-design/) - [Explore the NVIDIA AI Blueprint](https://build.nvidia.com/nvidia/protein-binder-design-for-drug-discovery?nvid=nv-int-txtad-232263) - [Take a Self-Paced Course](https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-HX-04+V1) ### Genomic Analysis Easily run essential genomics workflows to save time leveraging NVIDIA® Parabricks®. - [Explore the NVIDIA AI Blueprint](https://build.nvidia.com/nvidia/genomics-analysis) - [Try the Launchable](https://brev.nvidia.com/launchable/deploy/now?launchableID=env-2xn8JayrpXlBwGXkKASSomq6gXi) - [Get Started With NVIDIA Parabricks Documentation](https://docs.nvidia.com/clara/parabricks/latest/index.html) ### Single-Cell Analysis Accelerate data processing, clustering, dimensionality, reduction, and regression with NVIDIA RAPIDS-singlecell. - [Read the Tech Blog](https://developer.nvidia.com/blog/driving-toward-billion-cell-analysis-and-biological-breakthroughs-with-rapids-singlecell/) - [Explore the NVIDIA AI Blueprint](https://build.nvidia.com/nvidia/single-cell-analysis) - [Try the Launchable](https://brev.nvidia.com/launchable/deploy?launchableID=env-2xn8JayrpXlBwGXkKASSomq6gXi) - [Take a Self-Paced Course](https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-HX-05+V1) ### BioMedical AI-Q Research Agent Connect real-world data to reasoning models, enabling secure, privacy-preserving AI workflows that accelerate clinical development by improving research efficiency, insight generation, and decision-making across R&D, trials, and regulatory processes. - [Read the Tech Blog](https://developer.nvidia.com/blog/advancing-literature-review-amp-target-discovery-with-nvidia-biomedical-ai-q-research-agent-blueprint/) - [Explore the NVIDIA AI Blueprint](https://build.nvidia.com/nvidia/biomedical-aiq-research-agent) - [Try the Launchable](https://brev.nvidia.com/launchable/deploy/now?launchableID=env-2yHyPE6LQR0EJUgffHFsBRK1KD5) - [Take a Self-Paced Course](https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-HX-03+V1) ### Ambient Healthcare Agents Generative AI reasoning models enable provider and patient voice agents to deliver context-aware responses, automate clinical documentation, personalize patient interactions, and transform workflows for scalable, efficient care. - [Explore the Developer Example](https://build.nvidia.com/wandb/traceability-for-agentic-ai) - [Try the Launchable](https://brev.nvidia.com/launchable/deploy?launchableID=env-34f0WpRwoDMj851ced7kGEoovxH) ### Training Healthcare Robotics Prototype and test advanced robotic systems, train and evaluate AI models with real and synthetic data, develop robotic policies for surgical dexterity, and seamlessly bridge simulation to real-world deployment. - [Read the Tech Blog](https://developer.nvidia.com/blog/introducing-nvidia-isaac-for-healthcare-an-ai-powered-medical-robotics-development-platform/) - [Get Started on GitHub](https://github.com/isaac-for-healthcare) - [Take a Self- Paced Course](https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-OV-52+V1) ### AI-Assisted Annotation Accelerate and improve the process of labeling medical images - [Tutorial On-Demand](https://www.nvidia.com/en-us/on-demand/session/gtc24-dlit61433/) - [Get Started With MONAI Label Documentation](https://docs.monai.io/projects/label/en/latest/) - [Take a Self-Paced Course](https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-HX-02+V1) ## Explore Healthcare and Life Sciences Platforms ### BioNeMo ### AI Development Platform for Life Science Research NVIDIA BioNeMo™ is an open developer platform designed to accelerate AI-driven R&D. [Get Started With BioNeMo](https://docs.nvidia.com/bionemo-framework/latest/) ### Holoscan ### AI Sensor Processing Platform NVIDIA Holoscan is a versatile edge AI computing platform for real-time processing of streaming medical device data. [Get Started With Holoscan](https://docs.nvidia.com/holoscan/index.html) ### Isaac for Healthcare ### Simulation, Training, and Deployment of AI Robotics NVIDIA Isaac™ for Healthcare is an AI robotic development platform domain-specialized for healthcare. [Get Started With Isaac for Healthcare](https://isaac-for-healthcare.github.io/i4h-docs/workflows/) ### MONAI ### Open-Source AI Frameworks MONAI is an open-source, domain-specific framework for developing, training, and deploying deep learning models for medical imaging. [Get Started With MONAI](https://monai.io/) ### NVIDIA Parabricks ### Genomics Software Suite NVIDIA Parabricks is a scalable genomics software suite for secondary analysis that provides GPU-accelerated versions of trusted, open-source tools. [Get Started With NVIDIA Parabricks](https://docs.nvidia.com/clara/parabricks/latest/index.html) ## More Resources ![Decorative image representing Developer Community](https://developer.download.nvidia.com/icons/m48-developer-1.svg) ### Join the NVIDIA Developer Program ![Decorative image representing Training and Certification](https://developer.download.nvidia.com/icons/m48-certification-ribbon-2.svg) ### Get Training and Certification ![Decorative image representing Developer Newsletter](https://developer.download.nvidia.com/images/isaac/m48-ai-startup-256px-blk.png) ### Accelerate Your Startup ## Connect With Us ![](https://developer.download.nvidia.com/icons/m48-email-settings-ffffff.svg) Sign up for healthcare news—from exciting product releases to essential news updates. [Stay Informed](https://www.nvidia.com/en-us/industries/healthcare-life-sciences/healthcare-news-sign-up/) ![](https://developer.download.nvidia.com/icons/m48-question-support-ffffff.svg) Got questions? Our healthcare experts are here to assist you! [Contact Us](https://www.nvidia.com/en-us/industries/healthcare/contact-sales/)