All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 25–34 of 34 filtered models
MAMMAL
11891KMulti-modal, multi-task biological foundation model trained on 2 billion samples spanning proteins, small molecules, and single-cell gene expression.
ProteinSmall moleculeSingle-cell74OpennessgCIS
109—CT segmentation foundation model that uses task prompts to segment 83 anatomical structures and lesions across whole-body scans in a single network.
Imaging14OpennessBELT-2
—12—EEG-to-language foundation model that pairs a Q-Conformer encoder with a frozen LLM to decode coherent sentences from non-invasive brain recordings.
BiosignalsLanguage model30OpennessBiomedGPT
7084062Open-source, lightweight generalist vision-language foundation model for diverse biomedical imaging and text tasks.
Language modelImagingPathology33OpennessProt2Token
3810—Multi-task protein framework recasting function, binding site, and structure prediction as autoregressive next-token prediction over ESM2 embeddings.
Protein13OpennessSSL-Wearables (HARNet)
162210—Self-supervised CNN pretrained on 700,000 person-days of UK Biobank accelerometer data for human activity recognition across devices and cohorts.
Biosignals28OpennessProLLaMA
20795304Protein large language model adapted from LLaMA-2 that unifies sequence generation and superfamily classification in one 7B-parameter framework.
Protein95OpennessscMulan
626—Generative language model for single-cell transcriptomics with 368M parameters, unifying cell type annotation, batch integration, and cell generation.
Single-cell48OpennessDNAGPT
46——GPT-style DNA foundation model trained on over 200 billion base pairs of mammalian genomes for sequence generation, classification, and regression.
DNA & Gene6OpennessMed3D
2.2K681—Pretrained 3D-ResNet backbones for volumetric medical image analysis, co-trained across eight CT and MRI segmentation datasets for transfer learning.
Imaging75Openness