SinoXivBackground Endoscopic mucosal resection (EMR) is the standard treatment for complex colorectal lesions, offering an effective minimally invasive alternative to surgery. However, the incidence of color...
Modern data centers face unprecedented challenges from complex communication patterns generated by large-scale AI training and novel heterogeneous accelerators. To address these issues, we present a c...
Liver Hepatocellular carcinoma (LIHC) is a highly heterogeneous malignancy with poor prognosis, underscoring the urgent need for reliable biomarkers and therapeutic targets. Cellular senescence plays ...
Quantifying disorder in composite microstructures is essential for predicting me chanical, thermal, and electrical properties, yet traditional order parameters require prior knowledge of reference str...
Multimodal music information retrieval has gained significant momentum, producing a wide range of datasets for machine learning and deep learning tasks. However, these resources remain overwhelmingly ...
India’s school education system revolves around the National Council of Educational Research and Training (NCERT) textbooks, yet the research community has largely overlooked them as a source for stru...
Data heterogeneity remains one of the most significant challenges in federated learning (FL), impacting model performance, convergence, and scalability. This issue is especially critical in healthcare...
Background Analysis of clinical trials with missing data requires statistical assumptions. When novel digital outcome measures are used, it is particularly important to understand trial participants’ ...
Background Transitions from Child and Adolescent Mental Health Services (CAMHS) to adult services (AMHS) are often complex and negative experiences for young people and those supporting them. Young pe...
As mental health disorders continue to rise globally and access to specialised care remains a persistent challenge, AI-powered conversational agents have emerged as a credible avenue for early screeni...
