How exclusion criteria can hinder eligibility for lung cancer studies among different racial and ethnic groups [0.03%]
排除标准如何妨碍不同种族和族裔群体肺癌研究的资格审核
Jennifer Y Kim,Abigail Dirks,Ruby Madison Ford et al.
Jennifer Y Kim et al.
The extent to which protocol eligibility criteria contribute to the underrepresentation of racial and ethnic minority populations - including Black, Asian, and Latino Americans - in lung cancer clinical trials remains poorly characterized. ...
Efficient information extraction using LLMs and knowledge distillation: A study on HPV health communication [0.03%]
基于LLMs和知识蒸馏的高效信息抽取：HPV健康传播研究
Saadat Hasan Khan,Kevin Lybarger
Saadat Hasan Khan
State Department of Health (DOH) websites serve as authoritative sources of HPV-related health communications, presenting state-specific content that influences public awareness and vaccination decisions. We develop a computationally effici...
Real-world effects of alcohol on heart rate, sleep, and physical activity by age and sex [0.03%]
酒精对心率、睡眠和身体活动的现实世界影响：按年龄和性别区分
Gregory J Grosicki,Austin T Robinson,Michael J Joyner et al.
Gregory J Grosicki et al.
Alcohol consumption acutely disrupts physiology and behavior. Yet, the modifying effects of age, biological sex, and health behaviors are not well understood. In this retrospective cohort study, we analyzed 5,109,185 person-days from 20,968...
The adaptive large language models for vaccine prediction: A novel approach to vaccine demand prediction with engineered deviation prompts [0.03%]
自适应大型语言模型的疫苗预测：一种新颖的需求预测方法及其工程偏差提示技术
Mingming Chen,Qiangsong Wu,Zilong Wang et al.
Mingming Chen et al.
Accurate vaccine demand forecasting is crucial for minimizing wastage and ensuring efficient immunization programs. In this study, we introduce an Adaptive Large Language Model for Vaccine Prediction (ALLMVP) that integrates large language ...
SynthCraft: An AI partner for synthetic data generation to support data access and augmentation in healthcare [0.03%]
SynthCraft：一个AI合成数据生成合作伙伴，用于支持医疗保健领域的数据访问和增强
Thomas Callender,Anders Boyd,Robert Davis et al.
Thomas Callender et al.
Access to high-quality data provides the foundation for biomedical research. But data access is often limited or challenging due to privacy constraints, whilst the data themselves may be unrepresentative or sparse. Synthetic data can suppor...
Heterogeneous associations of a mobile health-based disease management program on uncontrolled hypertension: A target trial emulation study [0.03%]
基于移动健康的高血压疾病管理项目对未控制高血压的异质性关联：靶标试验仿真研究
Masashi Kanai,Takahiro Miki,Takuya Toda et al.
Masashi Kanai et al.
Long-term effectiveness of digital health interventions for hypertension remains unclear, particularly regarding individual variability in treatment response. This study examined the association of a mobile health-based disease management p...
Functional connectivity-based classification and subtyping of major depression for precision mental health: An ensemble graph neural network approach [0.03%]
基于功能连接的抑郁症分类和分型以实现精准精神健康：一种集成图神经网络方法
Kaizhong Zheng,Hongbing Lu,Huaning Wang et al.
Kaizhong Zheng et al.
Major depressive disorder (MDD) remains clinically diagnosed based on subjective symptoms rather than objective neurobiological markers, which limits diagnostic accuracy and the ability to tailor treatment. We present an ensemble hybrid fra...
Association between deep learning-based atrial fibrillation burden and in-hospital mortality [0.03%]
基于深度学习的房颤负担与住院死亡率之间的关系
Yongseop Lee,Yujee Chang,Jihoon Seo et al.
Yongseop Lee et al.
Despite its clinical significance, research on atrial fibrillation (AF) burden as a dynamic, real-time predictor of adverse outcomes in patients with critical illness is lacking. This study examined the association between high AF burden an...
Feasibility, acceptability and effectiveness of digitally delivered multimodal prehabilitation for cancer patients: A mixed-methods systematic review [0.03%]
癌症患者数字化多模式康复教育的可行性、可接受性和有效性：混合方法系统评价
Jeremiah Oyedemi,Simon Dunne,Louise Brennan et al.
Jeremiah Oyedemi et al.
Multimodal prehabilitation, which encompasses physical, nutritional, and psychological strategies, is increasingly recognised for its potential to prepare cancer patients holistically for their treatment journey. This mixed-methods systemat...
Alexandra Lautarescu,Brett Trost,Azadeh Kushki et al.
Alexandra Lautarescu et al.
Data sharing is a key element of scientific research, but it is associated with many complex legal, ethical, and practical challenges. These are particularly salient in autism research, where concerns have been raised about researchers' int...