Loading…
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–24 of 249 filtered models
Label-free virtual staining framework that turns gigapixel spectral whole-slide images into H&E histology without tiling seams or color drift.
Nuclear segmentation and subtype classification in immunohistochemistry slides, steering frozen SAM and UNI encoders with frequency-domain prompts.
Weakly supervised deep learning system that scores 17 histological lesions continuously from kidney transplant biopsy whole-slide images.
Mammography vision-language model that samples sparse high-res patches instead of downscaling, for zero-shot BI-RADS, density and cancer readout.
Slide-level histopathology model that flags endocervical gastric-type adenocarcinoma on routine H&E, built on frozen Virchow2 tile features.
Histopathology foundation model for whole-slide cancer diagnosis, covering 19 common cancer types and 205 clinical diagnostic tasks.
Lightweight histopathology model of 2 million parameters that runs on an ordinary hospital PC alongside a cloud model for cancer diagnosis.
Histopathology tile encoders reach 22M parameters by distilling billion-parameter teachers through their frozen class and patch tokens alone.
Histopathology foundation model for uterine malignancies that orders whole-slide morphology into continuous, progression-associated tumor states.
Cell-level pathology foundation model that types every nucleus on a routine H&E slide, supervised by paired Xenium spatial transcriptomics.
Medical imaging foundation model unifying pathology and radiology, serving classification and segmentation on 2D, 3D and gigapixel inputs.
Whole-transcriptome inference from label-free live-cell phase-contrast microscopy, predicting 18,085 genes without staining or lysing the cells.
Computational pathology model predicting ten lymphoma subtypes from H&E whole-slide images and ordering the matching immunohistochemistry panel.
Gastric pathology model reading whole-slide images through a chain of dependent questions, mirroring a pathologist's stepwise reasoning.
Virtual spatial transcriptomics model that infers spot-level gene expression from H&E slides by fusing tile, slide, and spatial-position features.
Open-weights pathology foundation models pairing a 1.1B-parameter ViT-g/8 tile encoder with distilled 86M and 22M variants for H&E histology.
Histopathology foundation model predicting spatial gene expression from H&E slides at single-cell resolution via linear whole-slide attention.
Breast-specialized multimodal pathology foundation model for core needle biopsy diagnosis, with conformal risk control gating report release.
Renal tumor histopathology model that detects tissue regions, classifies nine subtypes, grades nuclei and scores prognosis from a single H&E slide.
Diffusion super-resolution for H&E whole-slide images, steering denoising with SAM-derived structural anchors and adapted DINOv3 semantic control.
Whole-slide histopathology foundation model that fuses 10x, 20x, and 40x views by attending only between adjacent magnifications.
Breast cancer histopathology foundation model distilled from three general-purpose PFMs, over 30x smaller with comparable balanced accuracy and AUC.