Research & Publications
Advancing the field of digital pathology through rigorous scientific research and innovation.
AI-powered immune profiling from histopathology slides for chemo-radiotherapy outcome prediction in rectal cancer: a study using clinical trial and real-world cohorts
This study examines routine pathology images using AI to measure the types and abundance of key immune cells surrounding rectal cancer tumors to predict survival and disease recurrence.
Immunocto: a massive immune cell database auto-generated for histopathology
We introduce Immunocto, a massive, multi-million automatically generated database of immune cells to support the development of new classification models and provide a benchmark for evaluating existing ones.
Tumour Cell Density Quantified by Artificial Intelligence Enables Precise Chemo-Radiotherapy Planning for Locally Advanced Rectal Cancer Patients: A Post-hoc Study of the Phase 3 ARISTOTLE Trial
This post-hoc study of the Phase 3 ARISTOTLE trial utilizes artificial intelligence to quantify tumour cell density, enabling precise chemo-radiotherapy planning for patients with locally advanced rectal cancer.
A deep learning framework deploying segment anything to detect pan-cancer mitotic figures from haematoxylin and eosin-stained slides
This study presents an artificial intelligence-based approach to detect mitotic figures in digitised whole-slide images, introducing a generalisable data creation pipeline and a high-performance detection model.