Biography
Artsiom Hramyka is a Principal Investigator at the Centre for Cancer Genetic Epidemiology, holding a CRUK International Alliance for Cancer Early Detection (ACED) Pathway Award. His fellowship develops dynamic AI-based models for 5-year breast cancer risk prediction from longitudinal mammography, with the long-term aim of supporting a move toward risk-stratified breast screening. His research sits at the intersection of machine learning, simulation modelling, and cancer early detection, with methodological interests in sequence-aware deep learning for longitudinal medical imaging and simulation-based inference for cancer screening evaluation. He holds a PhD in Computer Science from the University of St Andrews.
Research
AI-based breast cancer risk prediction from longitudinal mammography; sequence-aware deep learning for medical imaging; risk-stratified cancer screening; simulation modelling of cancer natural history; simulation-based inference for the calibration of microsimulation models; clinical translation of machine learning for early detection.
Publications
Hramyka, A., Kelsey, T. W., Abbara, A., Hanassab, S., et al. (2026). Modelling Follicular Growth During Ovarian Stimulation Using Agent-based Artificial Intelligence. The Journal of Clinical Endocrinology & Metabolism.
Hanassab, S., Nelson, S. M., Akbarov, A., Yeung, A. C., Hramyka, A., et al. (2025). Explainable artificial intelligence to identify follicles that optimize clinical outcomes during assisted conception. Nature Communications.
Geel, J. A., Hramyka, A., du Plessis, J., et al. (2024). Machine learning to predict interim response in paediatric classical Hodgkin lymphoma using affordable blood tests. Journal of Clinical Oncology Global Oncology.
Khadhouri, S., Hramyka, A., Gallagher, K., et al. (2024). Machine Learning and External Validation of the IDENTIFY Risk Calculator for Patients with Haematuria Referred to Secondary Care for Suspected Urinary Tract Cancer. European Urology Focus.
