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Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–2 of 2 filtered models
Self-supervised foundation model for clinical flow cytometry, producing panel-agnostic specimen-level representations from multi-panel data.
Flow cytometry foundation model that reads heterogeneous antibody panels through a universal marker embedding to predict sample-level phenotypes.