DeepCPath

DeepCPath develops computational methods that enable reliable analysis of complex medical and biological data. We focus on

  • Data-efficient learning (few-shot and low-data methods)
  • Generalised category discovery beyond predefined labels
  • Neurosymbolic approaches combining machine learning and rule-defined logical reasoning

Based in the School of Computing and embedded within the NIHR Biomedical Research Centre Newcastle, our team brings together computer scientists, clinicians and domain specialists to address challenges in computational pathology, precision diagnostics and biomonitoring. Our work spans methodological research, translational partnerships with healthcare and industry, and training the next generation of interdisciplinary researchers.

New DeepCPath Paper Outlines the Path to Truly Translational Clinical AI

Congratulations to Dr Richard Matzko and the DeepCPath team on their latest publication acceptance in the top-tier journal, Frontiers in Digital Health (IF: 6.8, Q1).

DeepCPath Secures New Funding to Advance Next-Gen CPath with Neurosymbolic AI

Funded by NIHR BRC Newcastle and contributed by the National Edge AI Hub, this project combines Neurosymbolic AI and Computational Pathology to deliver truly transparent AI tools for real-world clinical use.

Lab Retreat Sparks

Our research team gathered in person for a vibrant summer-afternoon workshop to establish a concrete execution strategy for the Neurosymbolic approach for truly explainable disease diagnosis.

Abstract Accepted by HDR UK Early Career Researcher Conference 2026

Congratulations to Burak Kucukgoz, our Research Associate, whose abstract has recently been accepted by the Health Data Research UK Early Career Researcher Conference 2026.

We are at The Festival of Genomics and Biodata London 2026

The Festival of Genomics and Biodata is the UK's largest life sciences event. We are honoured to attend and meet the national and international excellent researchers and industries there and exchange knowledge and inspirations.