All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–9 of 9 filtered models
BioMatrix
41—167Decoder-only foundation model that unifies sequences, 3D structures, and natural language for small molecules and proteins in one shared token space.
ProteinSmall moleculeLanguage model67OpennessCellTok
———Multimodal LLM that tokenizes single cells into discrete VQ-VAE codebook tokens, letting one model reason jointly over transcriptomes and text.
Single-cellLanguage model20OpennessMagicDock
———De novo ligand design framework that generates protein binders and small molecules by inverting gradients through a differentiable docking model.
ProteinSmall molecule33OpennessBrainOmni
7128—Brain foundation model unifying EEG and MEG in a single encoder via a shared discrete tokenizer that transfers across sensor layouts and montages.
Biosignals80OpennessHeartLang
5646—ECG foundation model that treats heartbeats as words and rhythm strips as sentences, using heartbeat-level tokenization for diagnostic classification.
Biosignals78OpennessAnyECG
45—Zhejiang University +3 othersNovember 17, 2024anomaly_detectionarrhythmia_classificationelectrocardiogram+6ECG foundation model that learns discrete rhythm tokens from noisy real-world recordings for arrhythmia classification and anomaly detection.
Biosignals10OpennessNeuroLM
163101—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 model66OpennessLaBraM
646398—EEG foundation model that learns transferable brain-signal representations with a vector-quantized tokenizer and masked transformer pretraining.
Biosignals72Openness