Blog
Research notes, clinical-AI commentary, and field reports from the studio.
A practical guide to understanding AI systems in healthcare—what questions to ask, what to watch for, and how to ensure your AI systems are safe, reliable, and trustworthy.
Why RAG quality depends on preserving information before retrieval. Exploring the knowledge engineering stack, from semantic parsing to continuous improvement.
A practical roadmap for sleep clinic owners looking to reduce administrative burden through intelligent automation — from scheduling to reporting.
Understanding the technical and operational considerations for connecting sleep lab systems with electronic health records.
Exploring how wrist-worn accelerometer data from consumer wearables can identify early markers of neurodegenerative disease.
Understanding how bias enters clinical AI systems and what rigorous evaluation frameworks look like in practice.
How machine learning can accelerate narcolepsy diagnosis by automating the initial screening step using routine clinical data.
Examining emerging evidence for low-dose aripiprazole as a potential intervention for neuroinflammatory symptoms in long COVID.