AI-Native Base-Calling Displaces Manual Review Work
Forensic and clinical laboratories across major North American and East Asian markets are increasingly specifying AI-powered base-calling platforms positioned against legacy manual review workflows, responding to demand for automated quality-control visibility that speeds case turnaround without maintaining separate manual verification processes at scale. This shift has required vendors to invest in machine learning model integration and base-calling accuracy testing capability, a process that can take six to twelve months per laboratory deployment given required validation depth. Forensic laboratory accreditation offices are increasingly treating base-calling automation capability as a competitive prerequisite for new instrument contracts.
Market Impact: Adds 9 percent accreditation-driven volume








