Simple Summary Lung cancer is one of the most common and deadly malignancies
worldwide. Microscopic examination of histological and cytological lung specimens can be a …

Many diseases are accompanied by changes in certain biochemical indicators called
biomarkers in cells or tissues. A variety of biomarkers, including proteins, nucleic acids …

Abstract The Cancer Genome Atlas (TCGA) is one of the largest biorepositories of digital
histology. Deep learning (DL) models have been trained on TCGA to predict numerous …

HER2-positive breast cancer is a highly heterogeneous tumor, and about 30% of patients
still suffer from recurrence and metastasis after trastuzumab targeted therapy. Predicting …

A model's ability to express its own predictive uncertainty is an essential attribute for
maintaining clinical user confidence as computational biomarkers are deployed into real …

Simple Summary An established dataset of histopathology images obtained by biopsy and
reviewed by two pathologists is used to create a two-stage oral squamous cell carcinoma …

Motivation Tumor mutational burden (TMB) is an indicator of the efficacy and prognosis of
immune checkpoint therapy in colorectal cancer (CRC). In general, patients with higher TMB …

Breast cancer patients often have recurrence and metastasis after surgery. Predicting the
risk of recurrence and metastasis for a breast cancer patient is essential for the development …

Early diagnosis of lung cancer to increase the survival rate, which is currently at a low range
of mid-30%, remains a critical need. Despite this, multi-omics data have rarely been applied …

Simple Summary Pathology images are vital for understanding solid cancers. In this study,
we created DeepRePath using multi-scale pathology images with two-channel deep …