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Verge senior reviewer Victoria Song spent roughly 100 days using Twin Health’s AI-powered digital twin metabolic program, which ingests CGM data (Dexcom G7), lab results and wearable metrics to predict glucose reactions to foods and provide personalized recommendations. The service is experimental and currently available only through corporate or private health plans, targeted at people with chronic metabolic issues.
NVIDIA DSX Air provides a node-based digital twin that models AI factory infrastructure and software interfaces so teams can validate supported configurations and integrations before hardware arrives. Agentic workflows interrogate the twin, run checks against policy and produce evidence-backed recommendations, while NVIDIA Brev supplies on-demand GPU compute that connects to the DSX Air environment; the company also demonstrates the pattern via its AI Blueprint for Video Search and Summarization.
Human Engineering Research Laboratories (HERL) at the University of Pittsburgh, with ATDev and up to $41.5 million in ARPA‑H funding, are developing the Robotic Assistive Mobility and Manipulation Platform (RAMMP) to improve assistive robotics. The project integrates Meta’s open-source vision models (DINOv3 and SAM), digital-twin simulation, and edge deployment to enable faster, more robust object recognition and navigation in real-world mobility aids; a prototype with voice and touch interaction is being prepared for real‑world testing.
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