Data Modernization in Action: Synthesizing Pioneering Informatics Projects in Public Health and Data Modernization Stories from Public Health Agencies [0.03%]
公共卫生机构中的数据现代化实践：公共卫生和数据现代化项目的开拓性信息学项目合成故事
Chanhee Kim,Aasa Dahlberg Schmit,Sarah Solarz et al.
Chanhee Kim et al.
With data considered as the 'oxygen' of public health, the Data Modernization Initiative (DMI) to enhance the public health data and information infrastructure is critical. The DMI Stories from the Field features data modernization from pub...
Recruitment, Retention, and Participant Diversity in the Context of a Heart Failure Self-Care Digital Intervention Decentralized Clinical Trial [0.03%]
心力衰竭自我管理数字化干预去中心化临床试验中的招募、留存和参与者多样性问题
Emily West,Angelica Rangel,Jasmine Zeng et al.
Emily West et al.
Background: Low participant accrual is a persistent concern in physiological disease intervention trials, inflating costs and jeopardizing the timeliness and validity of findings. Investigators are increasingly adopting d...
Mining Social Media Data for Influenza Vaccine Effectiveness Using a Large Language Model and Chain-of-Thought Prompting [0.03%]
基于大规模语言模型和连锁思维提示的流感疫苗有效性的社会媒体数据挖掘研究
Dongfang Xu,Guillermo López García,Karen O&#x;Connor et al.
Dongfang Xu et al.
Influenza vaccine effectiveness (VE) estimation plays a critical role in public health decision-making by quantifying the real-world impact of vaccination campaigns and guiding policy adjustments. Current approaches to VE estimation are con...
Detecting Reference Errors in Scientific Literature with Large Language Models [0.03%]
使用大型语言模型检测科学文献中的引用错误
Tianmai M Zhang,Neil F Abernethy
Tianmai M Zhang
Reference errors, such as citation and quotation errors, are common in scientific papers. Such errors can result in the propagation of inaccurate information, but are difficult and time-consuming to detect, posing a significant threat to th...
Opportunistic Screening for Pancreatic Cancer using Computed Tomography Imaging and Radiology Reports [0.03%]
利用CT影像和放射学报告进行胰腺癌的机会性筛查
David Le,Ramon Correa-Medero,Amara Tariq et al.
David Le et al.
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer, with most cases diagnosed at stage IV and a five-year overall survival rate below 5%. Early detection and prognosis modeling are crucial for improving patient outcomes a...
ProtoBERT-LoRA: Parameter-Efficient Prototypical Finetuning for Immunotherapy Study Identification [0.03%]
_protoBERT-LoRA：免疫治疗研究识别的原型微调方法_
Shijia Zhang,Xiyu Ding,Kai Ding et al.
Shijia Zhang et al.
Identifying immune checkpoint inhibitor (ICI) studies in genomic repositories like Gene Expression Omnibus (GEO) is vital for cancer research yet remains challenging due to semantic ambiguity, extreme class imbalance, and limited labeled da...
Yu Akagi,Tomohisa Seki,Toru Takiguchi et al.
Yu Akagi et al.
Counterfactual simulation-exploring hypothetical consequences under alternative clinical scenarios-holds promise for transformative applications such as personalized medicine and in-silico trials. However, it remains challenging due to meth...
Enhancing Long-Term Care Efficiency: Embedded LLMs for Clinical Report Summarization and Caregiver Support [0.03%]
提升长期护理效率：嵌入式LLM在临床报告总结和护工支持中的应用
Arnaud Michelet,Gaetano Manzo,Abraham Ritz et al.
Arnaud Michelet et al.
Long-term care facilities face a critical shortage of nursing staff and an increasing administrative burden, reducing time for direct patient care. Generative artificial intelligence offers a promising solution to automate administrative ta...
Ontology-based Semantic Similarity Measures for Clustering Medical Concepts in Drug Safety [0.03%]
基于本体的语义相似度度量在药物安全性中的医学术语聚类方法研究
Jeffery L Painter,François Haguinet,Gregory E Powell et al.
Jeffery L Painter et al.
Semantic similarity measures (SSMs) are widely used in biomedical research but remain underutilized in pharmacovigilance. This study evaluates six ontology-based SSMs for clustering MedDRA Preferred Terms (PTs) in drug safety data. Using th...
Development of an Early-Phase Local Model for Pandemics Using Public Health Data: Application to the COVID-19 Pandemic [0.03%]
基于公共卫生数据的传染病局部传播早期阶段模型的发展及在新冠肺炎疫情下该模型的应用研究
Jiasheng Shi,Jeffrey S Morris,David Rubin et al.
Jiasheng Shi et al.
The emergence of novel infectious pathogens challenges early-phase modeling of disease transmission due to limited, low-quality data and an incomplete understanding of the pathogen. Additionally, regional variations in outbreaks necessitate...