# VASCilia Page: https://stenobird.com/podcast/nsf-s-discovery-files-podcast-5593035/vascilia Text version: https://stenobird.com/podcast/nsf-s-discovery-files-podcast-5593035/vascilia.md Podcast: [NSF’s Discovery Files Podcast](https://stenobird.com/podcast/nsf-s-discovery-files-podcast-5593035) Published: 2026-06-01T07:01:00+00:00 Episode link: https://NSFsDiscoveryFilesPodcast.podbean.com/e/vascilia/ Audio file: https://mcdn.podbean.com/mf/web/z3iv94e5dhmnycgm/NSFsDiscoveryFilesPodcast_161_VASCilia.mp3 Processing state: not_requested JSON: https://stenobird.com/v1/public/podcasts/nsf-s-discovery-files-podcast-5593035/episodes/vascilia Duration seconds: 825 ## Resource Advances in artificial intelligence-driven technologies have the potential to impact the lives of Americans living with hearing loss substantially. Yasmin Kassim, a postdoctoral fellow and member of a group supported in part by NSF, has developed a deep learning-based tool that allows unparalleled insights into the hair cells that allow us to hear. ## Actions - request_transcript: `POST https://stenobird.com/v1/public/podcasts/nsf-s-discovery-files-podcast-5593035/episodes/vascilia/transcription-requests` — Idempotently request low-priority transcript generation for this episode. - read_markdown: `GET https://stenobird.com/podcast/nsf-s-discovery-files-podcast-5593035/vascilia.md` — Read the agent-friendly Markdown representation of this episode resource. A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed. ## Transcript Full transcripts are not published on public pages unless there is a clear rights basis.