Explainable deep learning framework incorporating medical knowledge for insulin titration in diabetes [0.03%]
一种可解释的深度学习框架，结合医学知识用于糖尿病胰岛素滴定
Haowei He,Zhen Ying,Biao Li et al.
Haowei He et al.
Background: Deep learning has shown promise in diabetes management but faces challenges in real-world application due to its "black-box" nature, characterized by opaque internal decision-making processes. Explainable arti...
Predicting rates of cognitive and functional decline in Alzheimer's disease and mild cognitive impairment [0.03%]
预测阿尔茨海默病和轻度认知障碍的认知和功能衰退速度
Antigone Fogel,Chloe Walsh,Nan Fletcher-Lloyd et al.
Antigone Fogel et al.
Background: The global population of People Living with Dementia (PLWD) is expected to grow rapidly in the coming decades, increasing the need for personalised, generalisable, and scalable prognosis and care planning supp...
Prediction of risk of hearing loss by industry noise from cross-sectional and longitudinal data [0.03%]
基于横断面和纵向数据的职业噪声性听力损失发病风险预测模型研究
Xiao Yu,Jiayu Li,Jiping Wang et al.
Xiao Yu et al.
Background: Noise exposure at work can damage hearing at speech-frequency essential for speech perception, leading to communication difficulties, life quality decline, and adverse mental and cognitive outcomes. Early iden...
Minimal benefit of co-testing over HPV primary screening with cytology triage from resource-limited settings in China [0.03%]
在中国资源有限的地区，与HPV初筛结合细胞学分流相比，联合筛查获益较少
Xinhua Jia,Xi&#x;ao Da,Jingyi Shi et al.
Xinhua Jia et al.
Background: Co-testing with human papillomavirus (HPV) DNA testing plus liquid-based cytology is still used in parts of China, although many screening programmes are moving toward HPV-based strategies. We aimed to compare...
The risk of kidney disease increases following SARS-CoV-2 infection compared to influenza [0.03%]
与流感相比，感染SARS-CoV-2后患肾脏疾病的风险增加
Yue Zhang,Nasrollah Ghahramani,Vernon M Chinchilli et al.
Yue Zhang et al.
Background: Although case reports and observational studies suggest COVID-19 increases the risk of kidney diseases, real-world evidence comparing it with influenza is limited. Our study aims to assess the association betw...
Convergent genomic and molecular features predict risk of metachronous metastasis in clear cell renal cell carcinoma [0.03%]
趋同的基因组和分子特征可预测透明细胞肾癌异时转移的风险
Marjan M Naeini,Mengyuan Pang,Neha Rohatgi et al.
Marjan M Naeini et al.
Background: The molecular features determining the risk of metachronous metastases in clear cell renal cell carcinoma (ccRCC) are poorly defined. This study aimed to identify molecular factors associated with the risk of ...
Serum GFAP and NfL augment a metabolomics-driven strategy for long-term prediction of multiple sclerosis progression [0.03%]
血清GFAP和NfL增强代谢组学驱动的长期预测多发性硬化症进展策略
Tereza Kacerova,Eline Willemse,Johanna Oechtering et al.
Tereza Kacerova et al.
Background: Reliable biomarkers for predicting disease progression in multiple sclerosis (MS) are crucial for advancing precision medicine and optimising treatment strategies. This study evaluates the predictive potential...
Towards a nomenclature of health services for implementing universal health coverage in low- and middle-income countries [0.03%]
低收入和中等收入国家实现全民健康覆盖的卫生服务命名法研究
Alain Ndayikunda,Ronald Buyl,Frank Verbeke
Alain Ndayikunda
Background: Achieving Universal Health Coverage (UHC) in low- and middle-income countries (LMICs) requires a robust digital infrastructure capable of monitoring healthcare services and associated costs. A major barrier is...
A genome-wide association study identifies EYA2 as a contributing gene for diabetic retinopathy in type 2 diabetes [0.03%]
2型糖尿病合并糖尿病视网膜病变的全基因组关联分析研究发现EYA2基因与糖尿病视网膜病变相关
Tengda Cai,Qi Pan,Yiwen Tao et al.
Tengda Cai et al.
Background: Diabetic retinopathy (DR) is a complication of diabetes that affects the eyes. This study aims to identify the genetic variants associated with DR in type 2 diabetes (T2D) patients from the UK Biobank cohort (...
Evaluating the accuracy of ChatGPT model versions for giving care-seeking advice [0.03%]
评估ChatGPT模型版本在提供就医建议方面的准确性
Marvin Kopka,Longqi He,Markus A Feufel
Marvin Kopka
Background: Artificial Intelligence tools such as ChatGPT are increasingly used by laypeople to support their care-seeking decisions, although the accuracy of newer models remains unclear. We aimed to evaluate the accurac...