Bankruptcy risk prediction, a core issue in financial risk management, plays a critical role in assessing corporate financial health and supporting decision-making for financial institutions. Traditional machine learning models often struggle with pa... read more
The abnormal formation of the membrane attack complex (MAC) is intrinsically linked to a range of acute and chronic immune diseases. The insertion of complement C9 into the membrane is the final step and kinetic bottleneck of MAC formation. However, ... read more
Breast cancer is among the most prevalent cancers affecting women worldwide, and early detection through mammography is critical to reducing mortality rates. Convolutional neural networks (CNNs) have demonstrated notable effectiveness in classifying ... read more
Immune checkpoint inhibitors (ICIs) have improved outcomes for patients with solid tumors, but reliable predictors of overall survival (OS) are limited. This retrospective study of 146 advanced solid tumor patients treated with ICIs aims to provide a... read more
BACKGROUND AND OBJECTIVE: Renal clear cell carcinoma (ccRCC) is highly heterogeneous, with significant differences in clinical outcomes such as prognosis and sensitivity to target therapy. The development of predictive, preventive, and personalized m... read more
Deep learning has become an important tool for 3D medical image segmentation, where learning effective representations from limited labeled data remains essential for practical deployment. Here, we present ResTRANS3D, a data-efficient self-supervised... read more
Idiopathic pulmonary fibrosis (IPF) is a fatal interstitial lung disease that induces irreversible fibrosis and architectural remodeling. Traditional inflammation-based theories fall short in explaining its pathological processes, regional heterogene... read more
Screening for early-onset colorectal cancer is a growing public health concern, driven by a rising incidence in younger adults. As trends shift, screening guidelines continue to evolve. In this article, we examine recent epidemiologic patterns and po... read more
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