Suzanne Maynard
DPhil student
I am a Haematology Registrar ST6 who is currently undertaking full time research as a NIHR clinical research fellow and DPhil candidate within the Blood and Transplant Research Unit (BTRU) working on Data Driven Transfusion Practice. Having completed undergraduate medical training and an intercalated BSc in clinical sciences at Birmingham University, I moved to London for my foundation years as a doctor. Subsequently I spent a year in New Zealand and completed core medical training in Edinburgh, before returning south to embark on my Haematology Specialty Training in West London. As my interest in Haemostasis and Thrombosis grew, so was I captivated by the potential of ‘big data’ and artificial intelligence. Here in Oxford I am pursuing my ambition to harness routinely collected healthcare data to achieve scaled-up, efficient research methodology to inform transfusion practice and predict outcomes such as bleeding and thrombosis in under-researched and underrepresented groups.
Recent publications
Patterns of testing and the high burden of iron deficiency anaemia in cirrhosis: a national cohort study
Journal article
Maynard S. et al, (2026), Blood Red Cells & Iron, 100070 - 100070
Artificial Intelligence Implementation in Transfusion Medicine: Addressing the Challenges of Clinical Adoption.
Journal article
Maynard S. et al, (2026), Transfus Med Rev, 40
Improving transfusion access through improved policy: a call for a less fragmented blood supply.
Journal article
Jacobs JW. et al, (2025), Expert Rev Hematol, 1 - 11
Prevalence and patterns of testing for anaemia in primary care in England: a cohort study using an electronic health records database.
Journal article
Smith M. et al, (2025), Br J Gen Pract, 75, e232 - e240
Machine learning in transfusion medicine: A scoping review.
Journal article
Maynard S. et al, (2024), Transfusion, 64, 162 - 184