The MARC SE-Africa dashboard: Joining forces to counteract emerging antimalarial resistance in South and East Africa [0.03%]
MARC 东非面板：联合力量对抗南非和东非洲地区日益严重的抗疟疾药物耐药性问题
Stephanie van Wyk,Ishen Seocharan,Eulambius M Mlugu et al.
Stephanie van Wyk et al.
Regions within eastern and southern Africa (SE-Africa) carry some of the highest malaria burdens. Understanding the spatiotemporal dynamics of the emergence and spread of artemisinin (partial) resistance (ART-R) and how to mitigate ART-R is...
Identifying factors associated with vaping cessation in young adults: A machine learning and XAI approach [0.03%]
机器学习与XAI在青年电子烟戒断因素识别中的应用研究
Poolakkad S Satheeshkumar,Ian Lango,Swarnali Zafo et al.
Poolakkad S Satheeshkumar et al.
The public health impact of vaping in the United States reflects a complex balance of potential benefits and emerging risks, as e‑cigarettes may reduce exposure to toxic combustion byproducts and support adult smoking cessation, yet growin...
Early identification of high-risk individuals for mortality after lung transplantation: A retrospective cohort study with topological feature engineering [0.03%]
基于拓扑特征工程的肺移植后高风险个体早期识别：一项回顾性队列研究
Alexy Tran-Dinh,Enora Atchade,Sébastien Tanaka et al.
Alexy Tran-Dinh et al.
Lung transplantation remains the only definitive treatment for end-stage respiratory failure; however, it has substantial post-operative mortality risk. Current methods like the Lung Transplant Risk Index offer limited predictive performanc...
Dynamically predicting renal failure after development of diabetes across biobanks [0.03%]
基于生物样本库的糖尿病肾病发病风险动态预测研究
Aubrey Jensen,Sayera Dhaubhadel,Jonathan Hori et al.
Aubrey Jensen et al.
End-stage renal disease (ESRD) remains a major complication of diabetes, yet existing static risk scores may lose accuracy as patient profiles evolve and competing mortality risks change over time. We developed and externally validated a la...
Co-designing eCap-CoDe: A mobile health application for primary health care-based dementia care in rural Uganda [0.03%]
eCap-CoDe的联合设计：一款面向乌干达农村地区基于初级卫生保健的痴呆护理移动健康应用程序
Edith K Wakida,Christine K Karungi,William Wasswa et al.
Edith K Wakida et al.
Dementia is an emerging public health challenge in low- and middle-income countries (LMICs), yet it remains underdiagnosed in rural Uganda, where primary health care (PHC) providers often lack tools, training, and data systems for early det...
Exploratory association between multimodal AI-derived digital biomarkers and in-hospital mortality in adult patients with pneumonia: A proof-of-concept study [0.03%]
多模态人工智能衍生的数字生物标志物与肺炎成人患者住院死亡率的相关性探索性研究：概念验证性研究
Alejandro Hernández-Arango,Daniel Mejía Arrieta,Christian Andrés Díaz León et al.
Alejandro Hernández-Arango et al.
Pneumonia remains a leading cause of in-hospital mortality worldwide. Current prognostic tools such as the IDSA/ATS severity score have meaningful limitations, particularly in capturing dynamic disease progression or integrating heterogeneo...
Accuracy of heart rate measurement using AirPods Pro 3 during graded treadmill exercise: A laboratory-based validation study [0.03%]
基于实验室的验证研究：使用AirPods Pro 3在分级跑步机运动中测量心率的准确性
Cailbhe Doherty,David Burke,Owen Mitchell et al.
Cailbhe Doherty et al.
AirPods Pro 3 incorporate an in-ear optical heart-rate sensor, but independent validation during exercise is limited. We evaluated agreement between AirPods Pro 3 heart rate and an ECG-derived chest-strap reference (Polar H10) during graded...
Large language models for psychosocial risk assessment: A multi-method evaluation across suicide, intimate partner violence, and substance misuse [0.03%]
用于心理社会风险评估的大规模语言模型：自杀、亲密伴侣暴力和物质滥用的多方法评价
Laura M Vowels,Pranika Vohra,Danyang Li et al.
Laura M Vowels et al.
Psychosocial risk assessment is a cornerstone of mental health care, yet remains resource-intensive and inconsistently delivered across domains such as suicide, intimate partner violence (IPV), and substance misuse. Recent advances in large...
Predicting multiple sclerosis from radiologically isolated syndrome using generative artificial intelligence [0.03%]
利用生成式人工智能从放射学孤立综合征预测多发性硬化症
Christine Lebrun-Frenay,Felix Renard,Lydiane Mondot et al.
Christine Lebrun-Frenay et al.
Radiologically Isolated Syndrome (RIS) is characterized by incidental MRI findings indicative of multiple sclerosis (MS) in asymptomatic individuals. Factors such as younger age, positive cerebrospinal fluid biomarkers, and specific lesion ...
Sharing digital health data responsibly: Balancing open science with participant privacy [0.03%]
负责任地分享数字健康数据：在开放科学与参与者隐私之间求平衡
Camille Nebeker,Shahin Samiei,Santosh Kumar
Camille Nebeker
Data sharing is essential for modern science, advancing transparency, reproducibility, and discovery. Emerging evidence shows that certain digital health data, particularly high-frequency accelerometry from body-worn sensors, carry re-ident...