Brain metastasis (BM) is a devastating complication of breast cancer (BC) with a poor prognosis. Early identification of high-risk patients is essential but currently lacks accurate predictive tools. This study aimed to develop a stable machine learning model for predicting BM in…
Purpose Nightshift nurses commonly suffer from sleep disturbances and occupational stress due to irregular work-sleep rhythms. This Bayesian network meta-analysis (NMA) compared the efficacy of non-pharmacological therapies to identify optimal interventions for improving sleep an…
Road sign detection is crucial for highway maintenance but often suffers from sign loss, occlusion, and spatial misjudgments such as repeated local detections or mapping errors. To address these issues, this study proposes YOLO-DeepSort, a tracking and detection framework integra…
Tamoxifen-induced retinopathy is well recognized and frequently reported in clinical practice. By contrast, ocular adverse events associated with the structurally similar agent toremifene remain rarely described. We present a case of bilateral visual impairment in a patient recei…
Prostate cancer is a typical age-associated malignancy, and increasing evidence suggests that age-related immune alterations play an important role in its initiation, progression, and therapeutic response. Immunosenescence, characterized by impaired immune surveillance, reduced e…
Large-scale online reinforcement learning (RL) is the predominant means of eliciting advanced abilities including long-term reasoning and agentic tool use in large language models (LLMs). However, continuing to scale it across vast task domains of interest remains challenging in…
Chest X-ray multi-label classification is a core task in intelligent medical imaging diagnosis. However, real clinical data often exhibit extreme long-tailed distributions, leading to degraded performance on rare diseases in tail classes. This issue is not only driven by data sca…