AI Immunity Hub analyses standard H&E slides with a novel deep learning model we developed for TLS. We deliver per-case measurements and explain every result, without additional staining.
The platform detects and quantifies each TLS, then compares TLS features with your own cohort data, such as treatment response, survival, PD-L1 or other biomarkers, or any custom analysis, to find new biomarkers. Without AI, the same question needs extra sections, staining, scanning and manual annotation; here it starts from the routine H&E. The video shows mRECIST response as one example.
The tissue and cohort data in this video are illustrative. The results in the sections below come from real annotated images.
You share routine H&E slides; we return a quantitative TLS profile for every case.
Each result is traceable to the tissue, so pathologists can verify it.
A novel deep learning model we developed for tertiary lymphoid structures on routine H&E.
Move the divider to compare the H&E with the AI map. The dashed line is the pathologist's annotation; the panel compares the AI's measurements with the pathologist's. Each map was produced by a model that had not seen that image during training.
We compared the AI's TLS score on H&E with a multi-marker IHC assessment of TLS on slides aligned to the same tissue. The model never saw the IHC. The same check works with any IHC marker or panel, including your own.
Left to right: H&E · AI TLS score per tile · IHC staining (orange) with the AI's TLS tiles outlined
Left to right: H&E · AI TLS score per tile (outlined ≥ 0.90) · two IHC markers of the multi-marker assessment
Left to right: H&E · AI TLS score per tile (outlined ≥ 0.90) · two IHC markers of the multi-marker assessment
The model's decisions align with features a pathologist can verify: dense, small nuclei, and a pattern that holds in every case. Hover over or tap the charts for values.
Median inside annotated TLS divided by the median in the surrounding tissue. Values right of 1 are higher in TLS.
Median nuclear density inside TLS and in the surrounding tissue of each image, sorted by the difference.
Tell us where predicting immunotherapy response is hardest in your work, and whether the TLS analysis on this page would help. Your answers guide what we build through the ICURe Discovery programme; only your role is required.
Work in pharma, biotech, a CRO or a digital pathology company? Take the industry survey instead (about 8 minutes) →
We are partnering with early adopters: pathology groups, translational researchers and industry teams who want TLS measurements from their own H&E slides.
