Identifying external communication signals using single-cell transcriptomics data

Assumption Drift Monitor explored the use of live external data feeds to detect early signs of critical assumption drift. By integrating an RSS feed as a proxy for external signals, the team demonstrated how changing market, policy or industry conditions could be automatically surfaced and linked back to project assumptions.