TU Dublin Researchers at the ADAPT Centre, in collaboration with the UCD Conway Institute, have developed cutting-edge deep learning models to predict therapeutic responses and long-term recurrence in early-stage breast cancer.
The study, led by Aidan Meade, Abigail Keogan, and Thi Nguyet Que Nguyen at the ADAPT Centre, together with Arman Rahman and William Gallagher from the UCD Conway institute, uses Fourier-transform infrared (FTIR) chemical imaging for all-digital spectral histopathology. This innovative stain-free approach addresses the limitations of traditional prognostic assays by incorporating spatial context from breast cancer tissue, and allows sample re-use for further assay. This research paves the way for all-digital chemical imaging to provide a label-free platform for histopathological prognosis in breast cancer, and other diseases.
The research was made possible through support from Research Ireland, the Health Research Board, Higher Education Authority, The Royal Society, and Technological University Dublin. Key contributions were also made by collaborators at Lund University and the University of Exeter.
For more details, access the study [here] or [here].
