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 anemia in cirrhosis: a national cohort study
Journal article
Maynard S. et al, (2026), Blood Red Cells & Iron, 2, 100070 - 100070
A Reply to "Beyond Implementation: The Need for Validation, Equity, and Real-World Accountability in AI for Transfusion Medicine".
Journal article
Maynard S. et al, (2026), Transfus Med Rev, 40
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