#ComputationalPathology
Live, measured metrics for the hashtag #ComputationalPathology from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #computationalpathology
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mastodon.social (Mastodon public tags API) · fetched 2026-10-01 23:31 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-10-01 23:31 UTCNo related tags with measured usage found for #computationalpathology.
Live pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-01 23:31 UTCEverything below is measured over the latest 6 public posts (spanning ~35134 hours).
Posting hours (UTC)
Languages: English (4) · German (2)
Avg boosts / post: 0.7
Top of the latest posts
Project announcement 🏗️: "PROSurvival" builds a collaborative federated learning framework to predict survival in prostate cancer patients. Partners are OFFIS - Institute for Information Technology, Charité, Goethe University Frankfurt, an
🥳 Great to meet at #ECDP2026 some of the OC of our #Compayl day at this year’s #MICCAI. 📣 Submit and join this full day on #PathologyAI for a tutorial, workshop and the #Reg2026 challenge! ℹ️ at https://www.compayl.com #ESDIP #ASDP #Compu
It’s been a fantastic meeting with friends at #ECDP2026 in #Graz, Austria. Cutting edge science, great discussions, and many fun events! Can’t wait for next year’s in Rotterdam. #ESDIP #PathologyAI #ComputationalPathology #DigitalPathology
#computationalpathology across platforms
every network with a public tag surfaceFollow #computationalpathology straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/computationalpathology