Open access
Aug 2026
From comparative oncology to AI-enabled precision medicine: translational biomodels for triple-negative breast cancer
A patient–model–algorithm–patient reverse-translational loop in which histopathology, radiology, molecular profiles, and functional response data are integrated through computational pathology, radiomics, multi-omics factor models, and supervised multimodal learning is proposed.
T. Collares, F. Seixas, C. Pessoa et al.
· Frontiers in Oncology · 0 citations