Druggable Cell Populations Missed by Standard Annotation

Cell annotation turns single-cell data into a target hypothesis, and on disease tissue most pipelines get it wrong. This talk walks through cases across fibrosis, oncology, and cell therapy where standard annotation hid clinically actionable biology.

What you will take away from this session: examples from fibrosis, oncology, and cell therapy where annotation creates opportunities for otherwise missed drug targets, and a look at:

• CyteVerse, a purpose-built reference for hierarchical cell annotation;
• CyteType, an agentic workflow for cell annotation and target discovery with auditable reasoning; and
• CyteLM, a biology-trained language model with state-of-the-art performance on cell annotation