Search results
Found 30444 matches for
A pioneering European research project aims to lead to new diagnostic tests to assess patients with non-alcoholic fatty liver disease (NAFLD) and identify those most at risk for developing severe inflammation and liver scarring. Researchers from the Oxford Centre for Clinical Magnetic Resonance Research will play a key role in evaluating a series of biomarkers for NAFLD.
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.