Google Research’s Biomarker Discovery Framework, called CoDaS in its paper, uses specialized AI agents and deterministic analysis to rank wearable-derived biomarker hypotheses. Early results across three cohorts are promising for research triage, but they do not establish clinical validity or diagnostic use.
AI agents are moving into enterprise workflows faster than many organizations can build the data, governance, cost controls and operating processes needed to support them. The real challenge is no longer prompting a model, but operating an autonomous system safely and economically.
As generative AI shifts into autonomous agentic systems, the enterprise build-or-buy decision hinges on data privacy, integration capabilities, and strategic long-term priorities.
Alex Carter•
BriefFlash Dispatch
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