Breast Cancer Translational Pathology Group Dr Karen Taylor Group Leader and Research Fellow Contact details Email: karen.taylor@ed.ac.uk Research in a NutshellBreast cancer remains a global health challenge with 7.8 million new cases annually. Despite advances in treatment and screening it remains the leading cause of female cancer death globally and in the UK. There remains an urgent need for precision medicine approaches to discover and validate novel prognostic and predictive patient stratification models which are key to future clinical trial design. Our research focuses on the development and validation of biomarkers, integrating multi-omic approaches and digital/AI-based pathology. To achieve this our research is based on a large curated breast cancer translational pathology biobank of multiple well-annotated phase 3 clinical trials, which allow us to transform large datasets in to clinically relevant predictions at an individual patient level. People NameRole Karen TaylorGroup Leader and Research FellowTammy PiperSenior Research Technician and Tissue Bank ManagerMonika SobolResearch Technician Key Publications Karen Taylor Research Explorer Profile Collaborations Professor David Cameron, The University of EdinburghProfessor Peter Hall, The University of EdinburghProfessor Ian Kunkler, The University of EdinburghDr Arran Turnbull, The University of EdinburghProfessor Iain MacPherson, The University of GlasgowProfessor Rob Stein, University College LondonProfessor Daniel Rea, University of BirminghamProfessor Robert Hills, University of OxfordDr Roberto Salgado, Peter MacCallum Cancer Centre, Australia & ZAS Hospitals, BelgiumDr Mattias Rantalainen, Karolinska Institute, Sweden Partners and Funders Breast Cancer Research FoundationSwedish Research Council NHS Lothian Charity Scientific Themes Breast cancer, Translational pathology, Biomarker validation, Personalised Medicine, Phase 3 clinical trials Disease Areas Breast cancer Technology Expertise Phase 3 clinical trial translational pathology biobanking, histopathology, digital pathology, transcriptomics, proteomics This article was published on 2026-01-12