pathology

Pathologist and Scientific Director of the Candiolo Cancer Institute (INOC), Piedmont's oncology IRCCS and an OECI-certified Comprehensive Cancer Centre.

Atlas is a pathology foundation model trained on 1.2 million slides from two of the world's largest hospitals.

A pathology model trained across 19 cancer types that predicts survival and mutations from slides.

Tests on tissue and blood that say what kind of cancer it is, what is driving it, and which drugs might work.

Built UNI and CONCH, the pathology foundation models that let AI read whole-slide images across cancer types.

An open 1.1-billion-parameter pathology model from a French startup, among the strongest on public benchmarks.

Hibou is a family of open pathology foundation models under a permissive licence.

Showed that deep learning can read genetic features like microsatellite instability directly from routine pathology slides.

Midnight is a pathology model that matched the leaders while training on far fewer slides.

A model that reads slides and clinical text together to predict who will respond to immunotherapy.

Owkin's open pathology models trained on TCGA and its federated hospital network.

PLUTO is PathAI's compact pathology foundation model, a vision transformer pretrained at several magnifications on 195 million tiles from 158,000 slides, so one network serves slide-level and biomarker quantification tasks at whatever resolution each needs. It runs inside PathAI's AISight product, but its weights are proprietary, so outside groups cannot benchmark or adapt it.

An open pathology model trained on 1.3 billion image tiles from a US health system, modelling whole slides at gigapixel scale.

Strand AI's first model, Lattice, predicts which proteins sit where across a tumour from the ordinary stained slide a hospital already has, so a whole archive can be profiled without spending tissue on extra laboratory staining.

Brisbane breast pathologist who chairs the board of Breast Cancer Trials, the Australia and New Zealand breast cancer clinical trials group.

Trained the first clinical-grade AI on tens of thousands of slides, leading to the first FDA-authorised AI pathology product.

TITAN is a model that summarises a whole slide, not just tiles, and can write a draft pathology report.

Two open academic pathology models: UNI reads tissue images, CONCH links images with pathology text.

A pathology foundation model trained on millions of slides that can detect cancer and predict biomarkers from an ordinary H&E slide.