From Run Cards to Autonomous Labs: Diagnostic AI's Real Path Forward

Wednesday, July 29
10:00 – 10:20 a.m.
Exhibit Hall Theater 2
Presented by Dedicated Computing

Overview

Diagnostic labs stand at an inflection point. The infrastructure, compute, and governance choices made in 2026 will determine which organizations achieve autonomous operation by 2040 and which spend the next fifteen years trying to retrofit it.

Drawing on semiconductor fabrication's transformation from paper run cards pushed on carts to today's lights-out factories, where infrastructure preceded intelligence by a decade, this session lays out a concrete build plan for the autonomous diagnostic lab. The argument is unsentimental: the autonomous, edge-native, federated lab of 2040 is real and coming, but it will be built one unglamorous data, compute, and governance layer at a time.

Coverage includes semiconductor fab lessons applied to lab automation, the current OEM AI maturity landscape, five foundational infrastructure priorities, heterogeneous compute and edge inference architecture, and a governance bridge connecting existing IVD lifecycle discipline to AI model management.

Speakers

David Galus
Product Marketing Director
Dedicated Computing

Kaleb Kuether
Life Science AI and System Engineer
Intel Corporation