معرفی
Elaine Harkness is a Research Fellow at the University of Manchester, affiliated with the Division of Informatics, Imaging and Data Sciences. She contributes to the REVAL rapid service evaluation team, funded by the NIHR, focusing on NHS service evaluations and breast cancer research.
- Research Areas: Breast cancer, mammographic density, cancer risk modeling, BRCA1/BRCA2, medical imaging, AI applications in radiology
- Teaching: Co-supervises split-site PhD students, teaches literature review and presentation skills in Medical Imaging MSc, and supervises medical student APEP projects
Her work aligns with the University of Manchester's research beacons in Digital Futures and Healthier Futures, contributing to UN Sustainable Development Goals related to health and wellbeing. She has collaborated on multiple case-control studies involving mammographic density measurement and risk prediction models.
Recent research includes evaluating NHS Recovery Support Programme implementation, assessing AI-based breast density methods, and investigating diagnostic imaging modalities for dense breasts. Her contributions span interdisciplinary domains of medical imaging, healthcare policy, and machine learning.
- Active in international radiology conferences and workshops
- Engaged in peer-review activities for journals like European Journal of Radiology
- Contributed datasets on breast cancer risk models and mammographic analysis
