Anita Grigoriadis is a Professor of Molecular and Digital Pathology in the School of Cancer & Pharmaceutical Sciences, in the Faculty of Life Sciences and Medicine at King’s College London. Anita is an Executive Committee Member and the Training Lead of the CRUK City of London Centre and is co-leading the Spatial Biology Facility at King’s College London.

Anita heads the Cancer Bioinformatics teams, primarily composed of computer scientists, who develop and implement AI-powered analytical approaches to explore large-scale data, ranging from digitised whole slide images of H&E-stained tissue to subcellular spatial transcriptomics. Her research explores molecular and morphological determinants at the primary tumour lesion and in nearby lymph nodes, reflective of local and systemic immune responses, and how the sum of these individual components influences treatment response and disease progression of triple-negative breast cancer patients. Cancer Bioinformatics’ expertise in digital pathology and image analyses has moved Anita’s research into the area of early cancer detection, where they have built a normal breast tissue databank of hundreds of digitised Whole Slide Images and FFPE samples of normal breast tissue, obtained from healthy women, cosmetic- and risk-reduction mammoplasties, to high-risk germline BRCA1/2 mutation carriers and triple-negative breast cancer patients.

Recently Anita has received funding from the UK government’s Research Ventures Catalyst (RVC) programme, to establish PharosAI, a partnership between King’s College London, Guy’s and St Thomas Foundation Trust, Barts Health Trust and Queen Mary University of London. PharosAI’s goal is to be a catalyst for AI models in health research and health care, and how this work can help set the standards for frameworks, platforms, tools, and policies to enable AI/ML models in a safe and ethically appropriate manner.