Background and purpose Segmentation of oropharyngeal squamous cell carcinoma
(OPSCC) is needed for radiotherapy planning. We aimed to segment the primary tumor for …

Objective This study used histopathological image features to predict molecular features,
and combined with multi-dimensional omics data to predict overall survival (OS) in high …

It is becoming evident that holistic perspectives toward cancer are crucial in deciphering the
overwhelming complexity of tumors. Single-layer analysis of genome-wide data has greatly …

Histopathological images and omics profiles play important roles in prognosis of cancer
patients. Here, we extracted quantitative features from histopathological images to predict …

Cancer prognosis analysis is of essential interest in clinical practice. In order to explore the
prognostic power of computational histopathology and genomics, this paper constructs a …

Objective Comprehensive analysis of histopathology images and transcriptomics data
enables the identification of candidate biomarkers and multimodal association patterns …

Purpose To establish a pathomic model using histopathological image features for
predicting indoleamine 2, 3-dioxygenase 1 (IDO1) status and its relationship with overall …

Objective This study aimed to predict the molecular features of endometrial carcinoma (EC)
and the overall survival (OS) of EC patients using histopathological imaging. Methods The …

Abstract Head and Neck Squamous Cell Carcinoma (HNSCC) is a malignant cancer with
poor prognosis. Currently, the prognosis of HNSCC is determined by clinical and …

Multimodal artificial intelligence (AI) revolutionizes biomedical research by integrating
electronic health records and imaging data. This review succinctly explores the imperative of …