New Lunit Study Demonstrates Universal AI Model for Analysis of Immunohistochemistry Images | PR Newswire [Video]

Research in npj Precision Oncology highlights multi-cohort training approach and accurate analysis of unseen immunohistochemistry data

, /PRNewswire/ — Lunit (KRX:328130.KQ), a leading provider of AI-powered solutions for cancer diagnostics and therapeutics, today announced the publication of a new study in npj Precision Oncology detailing the development of its Universal Immunohistochemistry (uIHC) AI model. The study demonstrates how the model excels at analyzing diverse cancer types and IHC stains, including datasets it had never encountered before, due to a novel training approach. Now commercialized as Lunit SCOPE uIHC, the model enables advanced biomarker formation from even singleplex IHC, with subcellular stain localization, continuous intensity scoring, and cell type identification..

Addressing Challenges in IHC Analysis

Immunohistochemistry (IHC) is an essential tool in oncology, enabling pathologists to detect and quantify protein expression which in turn guides decisions for systemic therapy. However, while several AI algorithms exist to assist in scoring IHC images and improving accuracy, current AI models face two major …