ADLM 2026
Enabling AI in Lab Diagnostics Today and Tomorrow
Our Virtual Booth from ADLM 2026
Originally Booth 1358 | Anaheim, CA. | July 28-30, 2026
Dedicated Computing and Intel® are bringing AI directly into the lab.
See real-time, AI-enabled diagnostic applications running on DC hardware powered by Intel® silicon – designed to improve throughput, accelerate insight and enable next-generation lab performance.
Powering Lab Diagnostics for Over 40 Years
Dedicated Computing designs and delivers purpose-built computing platforms for healthcare and life sciences OEMs, supporting applications from laboratory diagnostics to genomic sequencing and robotics.
Our systems combine high-performance compute, long lifecycle availability and regulatory-ready design—helping you bring complex, data-driven solutions to market faster, with confidence.
Working as an extension of your engineering team, we simplify integration and reduce development time so you can focus on innovation.
Improving Throughput with AI at the Edge
Read on to discover how AI-enabled computing is transforming lab workflows:
- Increase throughput in quality control and testing
- Detect anomalies faster with real-time AI inference
- Accelerate drug discovery with high-performance data processing
- Enable scalable, connected lab systems from edge to enterprise
By processing data closer to where it is generated, our platforms reduce latency and enable faster, more accurate decision-making across the lab.
Clinical Lab Expo Lectures
Healthcare and life sciences experts from Dedicated Computing and Intel ran the following workshops in the Clinical Lab Expo:
Your lab already has the AI power—here’s how to unlock it.
Clinical laboratories are being asked to deliver higher test volumes and faster turnaround times—often without new capital investment or added infrastructure complexity. What if much of the AI capability needed to meet that demand is already sitting inside today’s lab systems?
In this session, we explore how existing Intel-based platforms can unlock “hidden” compute using CPUs and integrated GPUs to run AI workloads locally and in real time. We will demonstrate how computer vision models, LLMs, and retrieval-augmented generation (RAG) can execute securely at the edge—without discrete accelerators or cloud connectivity—improving latency, reliability, privacy, and total cost of ownership. We will also show how these capabilities extend to multimodal diagnostic workflows combining imaging, lab data, and clinical context.
Looking ahead, next-generation platforms like Intel Core Ultra Series with integrated NPUs enable smarter workload orchestration across CPU, GPU, and NPU, unlocking a path toward autonomous lab automation.
Moderator: David Galus
Dedicated Computing, Healthcare & Life Sciences Product Marketing Director
Speaker: Parker Lischwe
From Run Cards to Autonomous Labs: Diagnostic AI’s Real Path Forward.
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.
Moderator: David Galus
Dedicated Computing, Healthcare & Life Sciences Product Marketing Director
Speaker: Kaleb Kuether
Intel Corporation, Life Science AI and Systems Engineer
Demos and Products for Healthcare and Life Sciences
Supporting the complete diagnostics workflow.
Embedded Inside the Instrument
Dagger™ A9101
Ideal for healthcare & life sciences, medical imaging & diagnostics, physical & cyber security, training & simulation and other space-constrained edge applications. DC powered.
- Small form factor compute for embedded, edge and portable OEM applications
- Intel® Core processor support for responsive data, image and control workloads
- Rich connectivity and expansion with PCIe, M.2, Ethernet, USB, DP and HDMI options
Lab Bench Workstation
Gladius™ A9202
Built for OEM desktop, diagnostic, operator-facing and planning/viewing systems that need stable compute and flexible graphics.
- Stable desktop/tower compute platform for OEM workstation and operator-facing systems
- Intel® Core processor support with integrated graphics and NVIDIA® ProVis options
- Flexible PCIe, M.2, Ethernet, USB and display connectivity for data, image and control workloads
Watch a description of this demo from ADLM 2026:
Edge AI at the Lab Bench
Sabre™ S10300
Built for imaging, rendering, simulation and AI development teams that need Intel® Xeon® workstation performance, high-end GPU support and high I/O expansion capability in a convertible tower or 4U rackmount platform.
- Intel® Xeon® 600 Series workstation platform for demanding imaging, rendering and AI development workloads
- High-performance GPU architecture with support for multiple NVIDIA® ProVis GPUs
- Convertible tower/4U rackmount platform engineered for workstation, lab and semi-rugged deployments
Robotics Kit Reference Platform
Watch this introduction of the Robotics Kit Reference Platform, based on the latest Intel Core Ultra 7 processor.
Its modular architecture enables processor and memory upgrades over future generations, while extensive, customizable I/O and form-factor flexibility help OEMs adapt the platform around their application.
Fact Sheet
Computing Solutions for Healthcare and Life Sciences
We combine hardware, software, and services into integrated solutions optimized for long life, high availability, and regulatory compliance. Through close collaboration with strategic technology partners and customers, we help identify and integrate the latest technologies to ensure competitive, future ready deployments.
