The identification of biomarkers plays a crucial role in personalized medicine, both in the
clinical and research settings. However, the contrast between predictive and prognostic …

Artificial Intelligence (AI) is progressively permeating medicine, notably in the realm of
assisted diagnosis. However, the traditional unimodal AI models, reliant on large volumes of …

Deep learning (DL) has become one of the major approaches in computational
dermatopathology, evidenced by a significant increase in this topic in the current literature …

Modern histologic imaging platforms coupled with machine learning methods have provided
new opportunities to map the spatial distribution of immune cells in the tumor …

Background Recent advances in digital pathology have enabled accurate and standardised
enumeration of tumour-infiltrating lymphocytes (TILs). Here, we aim to evaluate TILs as a …

Melanoma is recognized as the most dangerous type of skin cancer, with high mortality and
resistance to currently used treatments. To overcome the limitations of the available …

The state-of-the-art for melanoma treatment has recently witnessed an enormous revolution,
evolving from a chemotherapeutic,“one-drug-for-all” approach, to a tailored molecular-and …

Simple Summary The increase in adjuvant treatment of melanoma patients makes it
necessary to provide the most accurate prognostic assessment possible, even at early …

Simple Summary Deep learning (DL) is expanding into the surgical pathology field and
shows promising outcomes in diminishing subjective interpretations, especially in …

Immunotherapy has changed the course of cancer treatment. The initial steps were made
through tumor-specific antibodies that guided the setup of an antitumor immune response. A …