<?xml version="1.0" encoding="UTF-8"?><urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9" xmlns:video="http://www.google.com/schemas/sitemap-video/1.1"><url><loc>https://aiunderstanding.org/news/aws-describes-an-ai-workflow-for-correcting-and-harmonizing-biomedical-metadata</loc><video:video><video:thumbnail_loc>https://aiunderstanding.org/api/news/image/aws-describes-an-ai-workflow-for-correcting-and-harmonizing-biomedical-metadata</video:thumbnail_loc><video:title>AWS describes an AI workflow for correcting and harmonizing biomedical metadata</video:title><video:description>AWS has published a deployable workflow that uses language models, embeddings and rule-based validation to identify inconsistent biomedical metadata and recommend corrections, with either human approval or agent-driven automation.</video:description><video:content_loc>https://aiunderstanding.org/api/news/video/aws-describes-an-ai-workflow-for-correcting-and-harmonizing-biomedical-metadata</video:content_loc><video:publication_date>2026-08-24T16:56:32.834Z</video:publication_date><video:family_friendly>yes</video:family_friendly></video:video></url></urlset>