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Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 49–72 of 386 filtered models
Uncertainty-aware diffusion model that enhances cryo-EM density maps while estimating voxel-wise confidence via Monte Carlo sampling.
Medical vision-language model for MR, CT and radiography, pretrained by curriculum learning on 12 million image-text pairs for zero-shot diagnosis.
Cryo-EM ligand modeling pipeline that detects bound ligand densities in a map, then reconstructs their atomic structures with a diffusion model.
Motion artifact reduction for cardiac CT, folding a learned cardiac motion field into model-based reconstruction to image the heart at any phase.
Protein representation learning from cryo-EM density maps, transferring to flexibility, active-site, binding-affinity, and stability tasks.
Generative microscopy foundation model that synthesizes in-silico fluorescence images of protein subcellular localization from amino-acid sequence.
Physics-informed generative foundation model for quantitative diffusion MRI that maps brain microstructure and adapts zero-shot to each participant.
Medical agent system for continuous care, combining a reasoning model with clinical tools for patient memory, evidence retrieval, and medical imaging.
Multiphoton pathology vision-language system turning one label-free breast section into virtual H&E, a margin heatmap, and a written report.
Domain-specific foundation model for zero-shot plant root image segmentation, built on a MobileSAM backbone and trained across nine root datasets.
Transformer tractography model for mouse-brain diffusion MRI, guided by axonal priors learned from Allen Mouse Brain Connectivity Atlas streamlines.
Self-supervised brain MRI foundation model built on DINOv3, pretrained on roughly 6.6 million unlabeled axial slices for neuroimaging tasks.
Generative imaging model simulating single-cell fluorescence microscopy for all 12,800 human proteins in the Human Protein Atlas.
Structural brain MRI foundation model pretrained on synthetic healthy volumes only, giving frozen features for brain age, dementia risk and image QC.
3D CT volume reconstruction from real chest X-rays, using a diffusion cascade that lifts one or two radiographs into a volume and then upscales it.
Brain MRI synthesis in 3D across T1w, T2w, FLAIR and SWI, whole-brain or skull-stripped, at up to 512x512x256 voxels in 30 sampling steps.
Vision transformer trained with DINO self-supervision to segment micronuclei in DNA-stained fluorescence images across cell lines and microscopes.
Cell-centric microscopy foundation model that distills morphology and microenvironment views into a unified embedding for virtual spatial omics.
Virtual staining from H&E histology to immunohistochemistry, using a Schrödinger bridge trained on unpaired slides with a topology-preserving term.
Longitudinal chest X-ray vision-language model that reads a follow-up radiograph against its prior study and forecasts how findings will change.
Healthcare reasoning model for symptom triage, wellness planning, and clinical workflows, post-trained with rubric-based reinforcement learning.
Vision foundation model for the tree of life, scaling BioCLIP 2 to a ViT-H/14 backbone and more organism images for zero-shot species classification.