معرفی
Daniel Royston is an Associate Professor of Pathology at the University of Oxford, affiliated with the Nuffield Division of Clinical Laboratory Sciences (NDCLS). He holds a joint University & NHS position as a Consultant Haematopathologist, combining academic research with clinical practice.
His research focuses on quantitative image analysis of blood cancers using AI/machine learning, specifically in myeloproliferative neoplasms (MPNs). Collaborations span Cellular Pathology, Haematology, and Biomedical Engineering under Professor Jens Rittscher. His work has pioneered Continuous Indexing of Fibrosis (CIF), a novel method for bone marrow fibrosis assessment in clinical trials.
- Joint Academic & NHS Role
- NDCLS affiliation
- Biomedical Engineering collaboration
The articles highlight his expertise in MPN diagnostics, spatial transcriptomics, AI-driven fibrosis analysis, and translational therapeutics. His group's CIF method enables objective tissue-based disease monitoring, influencing drug development for myelofibrosis. Key sub-fields include stromal-cell interactions, galectin-1 targeting, and multi-scale imaging.
His funding sources include Blood Cancer UK (BCUK) and Cancer Research UK (CRUK), supporting MPN research and clinical trial integration. The group's work bridges pathology, haematology, and AI engineering, with applications in diagnosis, prognosis, and therapeutic evaluation for blood cancer patients.
