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We are delighted to announce that the title of Associate Professor has been conferred on 24 PIs in RDM: Charis Antoniades (CVM), Richard Barker (IMD), Angie Bethel (OCDEM), Veronica Buckle (WIMM/NDCLS), Marella de Bruijn (WIMM/NDCLS), Hal Drakesmith (WIMM/IMD), Christian Eggeling (WIMM/IMD), Tudor Fulga (WIMM/NDCLS), Deborah Gill (NDCLS), Anna Gloyn (OCDEM), Leanne Hodson (OCDEM), Jim Hughes (WIMM), James Kennedy (IMD), Craig Lygate (CVM), Adam Mead (WIMM/NDCLS), Tom Milne (WIMM/NDCLS), Katherine Owens (OCDEM), Catherine Porcher (WIMM/NDCLS), Kazem Rahimi (CVM), Charles Redwood (CVM), Jan Rehwinkel (WIMM/IMD), Matt Robson (CVM), Tatjana Sauka-Spengler (WIMM/NDCLS), & Jurgen Schneider (CVM). Following the re-naming of the main University Lecturer grade as Associate Professor, the title of Associate Professor was conferred on certain members of staff automatically, in line with their existing posts or titles. In addition, the Medical Sciences Division conferred the title on other members of staff who met specified criteria.
Royston Group - AI-based Analysis of the Bone Marrow; Integrating Spatial Transcriptomics & Multiplexed Imaging To Improve the Assessment of Blood Cancer (Funding Available)
The diagnosis of blood cancer requires integration of clinical, pathological, immunophenotypic and genetic / molecular findings. Accurate and consistent interpretation of bone marrow trephines (BMT) is particularly important for distinguishing between important blood cancer subtypes. Such distinction guides patient management and informs risk stratification. In response, our group have developed pioneering artificial intelligence (AI) approaches to accurately capture important tissue features of the bone marrow in blood cancer. This includes the development of automated and quantitative approaches to detect cellular and stromal changes present on routinely prepared diagnostic samples. We are now developing strategies to combine these approaches with newly developed advanced spatial transcriptomic and IHC / IF multiplexing strategies for patient-derived bone marrow biopsies.