Meta-Analysis and Federated Learning over Decentralized Distributed Research Networks [0.03%]
去中心化分布式研究网络上的元分析与联邦学习
Yiwen Lu,Bingyu Zhang,Jiayi Tong et al.
Yiwen Lu et al.
Distributed research networks have transformed modern clinical research by enabling large-scale, multi-institutional collaborations while maintaining patient privacy. Two prominent methodologies within these frameworks-meta-analysis and fed...
Yuehua Zhu,Weiguang Mao,Rezwan Hosseini et al.
Yuehua Zhu et al.
DNA methylation, a covalent modification, fundamentally shapes mammalian gene regulation and cellular identity. This review examines methylation's biochemical underpinnings, genomic distribution patterns, and analytical approaches. We highl...
Artificial Intelligence in Pathology: Advancing Large Models for Scalable Applications [0.03%]
病理学中的人工智能：推进大规模模型的应用规模
Zhiping Xiao,Bin Feng,Junwei Yang et al.
Zhiping Xiao et al.
The rapid development of artificial intelligence (AI) has had a significant impact on medical research, introducing new possibilities for pathology studies. There is a recent trend of applying large-scale AI models to many fields, and this ...
The Expanding Landscape of Neural Architectures and Their Impact in Biomedicine [0.03%]
神经架构的扩展及其在生物医学中的影响
Zijun Frank Zhang,Huixin Zhan,Tinghui Wu et al.
Zijun Frank Zhang et al.
Deep learning and artificial intelligence (AI) have seen explosive growth and success in biomedical applications in the last decade, largely due to the rapid development of deep neural networks and their underlying neural network (NN) archi...
Leveraging Unstructured Data in Electronic Health Records to Detect Adverse Events from Pediatric Drug Use: A Scoping Review [0.03%]
基于电子健康记录中的非结构化数据检测儿童用药不良事件的综述研究
Su Golder,Karen O&#x;Connor,Guillermo Lopez-Garcia et al.
Su Golder et al.
Adverse drug events (ADEs) in pediatric populations pose significant public health challenges, yet research on their detection and monitoring remains limited. This scoping review evaluates the use of unstructured data from electronic health...
Justin Kauffman,Riccardo Miotto,Eyal Klang et al.
Justin Kauffman et al.
This review aims to elucidate the role and impact of embedding techniques in the analysis and utilization of electronic health record data for research. By integrating multidimensional, incongruent, and often unstructured medical data for m...
Hope Zehr,Alberto Baiardi,Francesco Tacchino et al.
Hope Zehr et al.
Use of light in healthcare is evolving with increasing applications of photodynamic therapy (PDT) for treating various cancers. PDT utilizes light-activated molecules called photosensitizers (PSs) that generate reactive oxygen species (ROSs...
Lucy Ham,Taylor E Woodward,Megan A Coomer et al.
Lucy Ham et al.
Many cellular processes involve information processing and decision-making. We can probe these processes at increasing molecular detail. The analysis of heterogeneous data remains a challenge that requires new ways of thinking about cells i...
Integrating Artificial Intelligence in Dermatological Cancer Screening and Diagnosis: Efficacy, Challenges, and Future Directions [0.03%]
人工智能在皮肤癌筛查和诊断中的应用：有效性、挑战及未来方向
Vivian Utti,Vasiliki Bikia,Ank A Agarwal et al.
Vivian Utti et al.
Skin cancer is the most common cancer in the United States, with incidence rates continuing to rise both nationally and globally, posing significant health and economic burdens. These challenges are compounded by shortages in dermatological...
Algorithm-Based Clinical Decision Support: Evolving Regulatory Landscape and Best Practices for Local Oversight [0.03%]
基于算法的临床决策支持：不断演变的监管环境及本地监管的最佳实践
Anthony L Lin,Amanda B Parrish,Michael Cary et al.
Anthony L Lin et al.
The potential of algorithm-based clinical decision support (CDS) in healthcare continues to increase with the growing field of artificial intelligence (AI)-enabled CDS. The use of these technologies to support clinicians, patients, and heal...