Grading prostate cancer with a pathologist in the loop
NuGleason
Why real-time error correction matters more than headline accuracy for a Gleason grading tool.
Insights
Insights from the PRR.AI team
Method write-ups, deployment notes and clinical perspective.
Two articles awaiting clinical review
The two articles below were ported from the previous PRR.AI site and carry no named clinical reviewer or review date. They stay reachable but unindexed until both are in place. The case study is PRR.AI’s own research write-up and makes no clinical claims, so it is published normally.
Published
Research
Method write-ups with results you can check.
In review
Articles
Ported from the previous site. Not indexed until clinically reviewed.
Accelerating diagnosis with digital pathology based biomarker analysis
HER2, ER, PR and PD-L1 scoring, the variability built into manual IHC workflows, and why that is a measurement problem rather than a training problem.
Spatial biology and computational AI for the future
What spatial biology adds to a histology slide, the upstream benefit already reaching pathology labs, and the four problems — data volume, workflow integration, standardisation and validation — still in the way.
Planned
Article pipeline
Suggested topics drawn from work already described on the product pages.
What an ambient scribe gets wrong in a multilingual OPD
CareLinq AI
Failure modes we design around, and what the clinician still has to check before signing.
One platform. Four products.
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