Background The widespread use of immune checkpoint inhibitors (ICIs) has revolutionised
treatment of multiple cancer types. However, selecting patients who may benefit from ICI …

Advances in digitizing tissue slides and the fast-paced progress in artificial intelligence,
including deep learning, have boosted the field of computational pathology. This field holds …

Computational pathology refers to applying deep learning techniques and algorithms to
analyse and interpret histopathology images. Advances in artificial intelligence (AI) have led …

An unresolved issue in contemporary biomedicine is the overwhelming number and
diversity of complex images that require annotation, analysis and interpretation. Recent …

Solid tumours comprise many different cell types organized in spatially structured
arrangements, with substantial intratumour and intertumour heterogeneity. Advances in …

Recent statistics on lung cancer, including the steady decline of advanced diseases and the
dramatically increasing detection of early-stage diseases and indeterminate pulmonary …

Artificial intelligence (AI) in oncology is advancing beyond algorithm development to
integration into clinical practice. This review describes the current state of the field, with a …

Oral squamous cell carcinoma (OSCC) is a highly unpredictable disease with devastating
mortality rates that have not changed over the past decades, in the face of advancements in …

Developing self-supervised learning (SSL) models that can learn universal and transferable
representations of H&E gigapixel whole-slide images (WSIs) is becoming increasingly …

Breast cancer is a significant cause of cancer-related mortality in women worldwide. Early
and precise diagnosis is crucial, and clinical outcomes can be markedly enhanced. The rise …