Opportunity: AI-based multiplex image analysis of pathology slides (SANDI)
Professor Yinyin Yuan
Additional lead scientists/inventors:
Hanyun Zhang
ICR lead scientists/inventors:
Additional lead scientists/inventors:
Professor Yinyin Yuan
Hanyun Zhang
Opportunity at a glance
The Institute of Cancer Research, London, is seeking licensees or collaborators for an AI-based method enabling the automated, rapid and accurate identification and classification of single cells from multiplexed pathology slides.
The technology could help accelerate research into how different cell types within the tumour microenvironment influence tumour behaviour, prognosis and response to treatment.
More about AI-based multiplex image analysis of pathology slides (SANDI)
Digital pathology is an emerging field. It uses sophisticated computing tools and AI to diagnose disease and guide treatments faster and more easily – offering exciting opportunities for understanding cancer in novel ways.
The Computational Pathology and Integrative Genomics Team at the ICR, led by Professor Yinyin Yuan, has created an AI-based approach that provides rapid accurate and reliable analysis of multiplex histopathology slides at a single cell level with minimal human input.
Self-supervised Antigen Detection AI (SANDI) involves scanning slides stained with multiplexed labels into digital images and using an AI algorithm to analyse the images automatically at a single-cell level.
Developed and validated using datasets from normal and tumour samples (breast, ovarian cancer and myeloma), the technique is agnostic to the antigen detection method or imaging platform used. In principle, it should detect an unlimited number of antigens within the same cell and work across all types of cancer and cell types.
Intellectual property
The Institute of Cancer Research (ICR) has filed a PCT patent application (PCT/EP2022/061941) covering the AI-based quantitative method for single-cell detection and classification in pathology slides, requiring minimal human input.
Commercial opportunity
The ICR team is now seeking licensees and commercial development partners looking to apply this technology in R&D programmes.
Contact us
Contact:
Joo-Hee Sir PhD
Business Development Manager
The Institute of Cancer Research, London
E: [email protected]
T: +44 20 3437 6009