Mammograms ViT — Dynamic AI for Breast Cancer Risk Sequence-aware vision transformers for 5-year breast cancer risk prediction from longitudinal mammography (CRUK ACED Pathway Award). Cancer Calibration — Transformer Posterior Estimator (TPE) Amortised Bayesian calibration of cancer microsimulation models using transformers. IVF — Deep Learning for Follicle Growth and Trigger-Day Decisions Transformer and agent-based ML for assisted reproduction; collaboration with Imperial College London and Prof. Scott Nelson. Paediatric Oncology — ML for Hodgkin Lymphoma in Low- and Middle-Income Settings Machine learning on affordable blood tests to replace expensive imaging in paediatric Hodgkin lymphoma. Bladder Cancer — ML for the IDENTIFY Risk Calculator Machine learning and external validation for predicting urinary tract cancer in patients with haematuria.
