Clinical Validation of a Cell-Free DNA Fragmentome Assay for Augmentation of Lung Cancer Early Detection

Clinical Validation Study on the Application of Cell-Free DNA Fragment Analysis in Enhancing Early Detection of Lung Cancer Background Lung cancer is one of the leading types of cancer threatening the health of both men and women globally. Over 125,000 people die from lung cancer in the United States each year, and globally, the number is close to ...

Activating Point Mutations in the MET Kinase Domain Represent a Unique Molecular Subset of Lung Cancer and Other Malignancies Targetable with MET Inhibitors

This study reveals a new targetable cancer subtype characterized by activating point mutations in the MET tyrosine kinase domain (TKD). Researchers identified MET TKD activating mutations in approximately 0.5% of patients across a genomic data set of over 600,000 cancer cases, encompassing various tumor types, with the highest prevalence in renal c...

Graph Neural Network for Representation Learning of Lung Cancer

Graph Neural Network for Representation Learning of Lung Cancer

Representation Learning of Lung Cancer Based on Graph Neural Networks Background Introduction With the rapid development of digital pathology, image-based diagnostic systems are becoming increasingly important in precise pathological diagnosis. These systems rely on Multiple Instance Learning (MIL) technology for Whole Slide Images (WSIs). However,...

Precise and safe pulmonary segmentectomy enabled by visualizing cancer margins with dual-channel near-infrared fluorescence

Precise and Safe Lung Segmentectomy Enabled by Dual-Channel Near-Infrared Fluorescence Tumor and Pleural Demarcation Lung cancer is a leading cause of cancer-related deaths globally. Since the introduction of computed tomography screening, the early detection rate of lung cancer has greatly increased, significantly reducing mortality rates. Studies...