Identity
- Type
- university
- Country label
- USA
- HQ country
- USA
- Founding country
- USA
- Parent
- not in the notes
- Parent country
- not in the notes
- Country basis
- the research notes
Where this comes from
Convention D1: a dual label, HQ first, when the HQ, founding or parent country differ.
Models by Class
Models
ModelClassOpennessParametersReleased
UNI2-hvision10 Jan 2025
TITANvision29 Nov 2024
UNIvision19 Mar 2024
CONCHvision5 Jan 2024Links
Organisation
Mahmood Lab, Harvarduniversity, USA
Mahmood Lab, Harvarduniversity, USAModels
UNI2-hMahmood Lab, Harvard, vision
TITANMahmood Lab, Harvard, vision
UNIMahmood Lab, Harvard, vision
CONCHMahmood Lab, Harvard, vision
UNI2-hMahmood Lab, Harvard, vision
TITANMahmood Lab, Harvard, vision
UNIMahmood Lab, Harvard, vision
CONCHMahmood Lab, Harvard, visionWho Runs Itnone recorded
Scores
| Benchmark | Model | Score | Who ran it | Setting |
|---|---|---|---|---|
| Pan-cancer specimen-level detection (Virchow study) | UNI | 0.94 AUROC | vendor-reported | As reported in the Virchow paper |
Where this comes from
Every recorded score of this organisation's models, with who ran it. Scores from different settings are not directly comparable.
Sources
- Towards a general-purpose foundation model for computational pathology - Nature Medicine nature.com https://www.nature.com/articles/s41591-024-02857-3
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Mahmood Lab, Harvard", https://aurion.semai.id/organisations/mahmood-lab/, records of October 2026.