Forecasting the consumer price index (CPI) is essential for inflation monitoring and policy design, yet existing studies often rely on limited economic variables and single-country settings. This stud...
Introduction Triple-negative breast cancer (TNBC) is an aggressive subtype characterized by poor prognosis. Based on the KEYNOTE-522 trial, neoadjuvant pembrolizumab plus chemotherapy has become the s...
Background & Aims: Posthepatectomy liver failure (PHLF) is a major cause of morbidity and mortality following liver resection. Accurate preoperative prediction of posthepatectomy liver failure (PHLF) ...
A comparative study on the accuracy of different machine learning methods for lung cancer prediction
Background The incidence and mortality rates of lung cancer (LC) are extremely high and continue to rise. Early diagnosis combined with timely intervention can effectively reduce mortality in LC patie...
Background: Accurately predicting treatment outcomes in patients with advanced non-small cell lung cancer (NSCLC) remains a significant clinical challenge. While circulating tumor DNA (ctDNA) within p...
Purpose: Early diagnosis of tumor recurrence or metastasis is critical for prolonging survival in patients with tumor. Such diagnosis requires not only high accuracy and flexibility but also clinical ...
Background Tumor epithelial barriers physically impede immune cell infiltration, causing immune exclusion and resistance to immune checkpoint inhibitors (ICIs). However, a simple, spatially quantifiab...
The transition from effortful to automatic processing is a defining feature of skill acquisition, and converging evidence implicates theta-gamma phase-amplitude coupling as the neural signature of thi...
Background: Sarcopenia represents a highly prevalent and prognostically detrimental complication in patients with bone tumors. Its progressive and dynamic nature hinders early intervention and amplifi...
Stroke remains a major global health burden and is a frequent and severe complication among patients with coronary heart disease (CHD). Early identification of individuals at high risk is essential fo...
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