All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–24 of 24 filtered models
OmniGene-4
———Unified bio-language Mixture-of-Experts model spanning DNA, protein sequence and structure, and biological text across eight task families.
Language modelDNA & GeneProtein7OpennessKnowMol
932—Institute of Computing Technology, Chinese Academy of SciencesOctober 22, 2025cheminformaticsde_novo_designgraph_neural_network+6Multimodal molecular large language model grounding molecule understanding and generation in fine-grained, multi-level chemical knowledge.
Small moleculeLanguage model69OpennessMIMO
122—Medical vision-language model that takes visual prompts on an image and returns answers grounded in pixel-level segmentation masks.
ImagingLanguage model11OpennessSigPhi-Med
5—3Chongqing University of TechnologyJuly 1, 2025histologyinstruction_tuningmedical_image_understanding+5Biomedical vision-language assistant for medical visual question answering, pairing Phi-2 with a vision encoder in a 4.2B-parameter model.
ImagingLanguage model15OpennessTxGemma
2361.8KOpen therapeutics foundation models from Google, built on Gemma-2, for drug-discovery property prediction and conversational reasoning.
Language modelSmall molecule58Openness- National University of Singapore +1 otherMarch 8, 2025cardiologyclinical_reasoningdiagnosis_grounding+7
Multimodal LLM unifying 12-lead ECG time series, ECG images, and text for grounded, clinician-aligned electrocardiogram interpretation.
BiosignalsLanguage model79Openness EndoChat
514418Chinese University of Hong Kong +5 othersJanuary 20, 2025endoscopygrounded_dialogueinstruction_tuning+6Grounded multimodal language model for endoscopic surgery, supporting visual dialogue, region-based question answering, and bounding-box grounding.
ImagingLanguage model22OpennessBiMediX2
742052Mohamed bin Zayed University of Artificial IntelligenceDecember 10, 2024histologyinstruction_tuninglanguage_model+7Bilingual Arabic-English medical multimodal model built on Llama 3.1 for radiology, CT, and histology image understanding and question answering.
Language modelImagingPathology11OpennessMedRegA
4625113Hong Kong University of Science and Technology +1 otherOctober 24, 2024histologyimage_classificationinstruction_tuning+8Region-aware bilingual medical multimodal LLM that handles image- and region-level vision-language tasks across eight imaging modalities.
PathologyLanguage model65OpennessPULSE
66451.8KMultimodal large language model that interprets 12-lead electrocardiogram images, answering open-ended clinical questions and generating ECG reports.
BiosignalsImaging84OpennessNeuroLM
162——Multi-task EEG foundation model that treats brain signals as a foreign language, pairing a text-aligned neural tokenizer with a GPT-2 backbone.
BiosignalsLanguage model66OpennessECG-Chat
8046—China University of Geosciences +2 othersAugust 16, 2024cardiologycontrastive_learningdisease_classification+6Multimodal ECG-language model aligning 12-lead waveforms with clinical report text for conversational cardiac diagnosis and report generation.
BiosignalsLanguage model27OpennessPathChat
—1—Multimodal vision-language copilot for pathology that answers open-ended questions about histology images and reasons about differential diagnoses.
PathologyLanguage model35OpennessHuatuoGPT-Vision
40012.9KShenzhen Research Institute of Big Data +1 otherJune 27, 2024histologyinstruction_tuningmedical_image_understanding+5Open medical multimodal LLMs (7B and 34B) for visual question answering over radiology, pathology, and endoscopy images, trained on PubMedVision.
PathologyLanguage model52OpennessMAIRA-2
—84KMicrosoft Research multimodal LLM for grounded chest X-ray report generation, localizing each described finding with bounding boxes on the image.
ImagingLanguage model35OpennessMedDr
983659Hong Kong University of Science and TechnologyApril 23, 2024foundation_modelhistologyinstruction_tuning+7Generalist medical vision-language foundation model with 40B parameters, spanning radiology, pathology, dermatology, retinography, and endoscopy.
ImagingLanguage model69OpennessMed-MoE
158549—Lightweight mixture-of-experts medical vision-language model routing visual question answering and image classification to domain-specific experts.
ImagingLanguage modelPathology81OpennessM3D
45138861Multimodal large language model for 3D medical imaging that handles report generation, visual question answering, and segmentation on CT volumes.
ImagingLanguage model77OpennessCheXagent
229751KInstruction-tuned vision-language foundation model for chest X-ray interpretation, with 8 billion parameters spanning eight clinical task types.
ImagingLanguage model32OpennessQilin-Med-VL
65389Chinese medical vision-language model pairing a Vision Transformer with an LLM to caption medical images and answer clinical questions in Chinese.
Language modelPathology44OpennessCXR-LLaVA
5439187Seoul National University +1 otherOctober 22, 2023abnormality_classificationchest_x_rayinstruction_tuning+6Chest X-ray vision-language model that generates free-text radiology reports, pairing a CXR-specific image encoder with a 7B LLaMA-2 language model.
ImagingLanguage model27OpennessLLaVA-Med
2.2K7311.9KBiomedical vision-language assistant for question answering on radiology and pathology images, adapted from LLaVA on PubMed Central captions.
PathologyLanguage model28OpennessPathAsst
136472—Multimodal pathology assistant that answers questions about histology and cytology images, pairing the PathCLIP vision encoder with a Vicuna-13B LLM.
PathologyLanguage model17Openness