Jun 22, 2026

New use case

Finding cross-omic signatures in an HIV cure cohort

Finding cross-omic signatures in an HIV cure cohort

Ten patients, hundreds of biological features

With just 10 participants from the BCN02 HIV cure trial, Synthetic Cognition jointly analyzed transcriptomics, methylomics, and gut microbiome data, surfacing 320 genes and 1,295 methylation sites that separate viral controllers from non-controllers — with perfect classification on held-out patients.

This is exactly the cohort size translational HIV cure research actually has. No reference dataset or pretraining corpus was required to find the cross-omic signature separating the two patient groups.

Discover trustworthy knowledge.

Trobant.AI's Synthetic Cognition is a general-purpose, explainable AI engine for translational medicine and life sciences.

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