FMRP-LEAN: A HIPAA-Compliant AI-Augmented LIMS Architecture for End-to-End Clinical Assay Workflow Optimization
Clinical biomarker workflows in translational research settings often rely on spreadsheet-driven tracking, manual quality control (QC) reconciliation, and loosely integrated systems, resulting in limited state visibility, delayed reporting, and increased operational risk. These challenges are particularly pronounced in multi-day assays such as Luminex-based quantification of Fragile X Messenger Ribonucleoprotein (FMRP), where HIPAA-compliant data governance, deterministic workflow progression, a
Record details
Published: 22 July 2026
Source: arXiv
Category: Research
Topics: Regulation · Privacy · Healthcare
Retrieved: 23 July 2026
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How to cite this record
ethics.ai (22 July 2026), “FMRP-LEAN: A HIPAA-Compliant AI-Augmented LIMS Architecture for End-to-End Clinical Assay Workflow Optimization,” evidence record 12674, https://ethics.ai/record/12674 (originally published by arXiv).
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