Sean Hacking
Sean Hacking
The generative artificial intelligence (AI) model ChatGPT holds transformative prospects in medicine. The development of such models has signaled the beginning of a new era where complex biological data can be made more accessible and inter...
Reducing Crowding in Emergency Departments With Early Prediction of Hospital Admission of Adult Patients Using Biomarkers Collected at Triage: Retrospective Cohort Study [0.03%]
基于生物标志物的急诊患者早期住院分诊预测可减少拥挤现象：回顾性队列研究
Ann Corneille Monahan,Sue S Feldman,Tony P Fitzgerald
Ann Corneille Monahan
Background: Emergency department crowding continues to threaten patient safety and cause poor patient outcomes. Prior models designed to predict hospital admission have had biases. Predictive models that successfully esti...
The Differentially Expressed Genes Responsible for the Development of T Helper 9 Cells From T Helper 2 Cells in Various Disease States: Immuno-Interactomics Study [0.03%]
不同疾病状态下T辅助2型细胞向T辅助9型细胞分化相关差异表达基因的免疫互作组学研究
Manoj Khokhar,Purvi Purohit,Ashita Gadwal et al.
Manoj Khokhar et al.
Background: T helper (Th) 9 cells are a novel subset of Th cells that develop independently from Th2 cells and are characterized by the secretion of interleukin (IL)-9. Studies have suggested the involvement of Th9 cells ...
Mutations of SARS-CoV-2 Structural Proteins in the Alpha, Beta, Gamma, and Delta Variants: Bioinformatics Analysis [0.03%]
SARS-CoV-2结构蛋白在Alpha、Beta、Gamma和Delta变异株中的突变：生物信息学分析
Saima Rehman Khetran,Roma Mustafa
Saima Rehman Khetran
Background: COVID-19 and Middle East Respiratory Syndrome are two pandemic respiratory diseases caused by coronavirus species. The novel disease COVID-19 caused by SARS-CoV-2 was first reported in Wuhan, Hubei Province, C...
Genomic Insights Into the Evolution and Demographic History of the SARS-CoV-2 Omicron Variant: Population Genomics Approach [0.03%]
基因组学视角下的SARS-CoV-2奥密克戎变异株的进化及群体遗传历史：群体基因组学方法研究
Kritika M Garg,Vinita Lamba,Balaji Chattopadhyay
Kritika M Garg
Background: A thorough understanding of the patterns of genetic subdivision in a pathogen can provide crucial information that is necessary to prevent disease spread. For SARS-CoV-2, the availability of millions of genome...
Exploring the Applicability of Using Natural Language Processing to Support Nationwide Venous Thromboembolism Surveillance: Model Evaluation Study [0.03%]
基于自然语言处理的大规模静脉血栓栓塞监测支持可行性的探索性研究：模型评估研究
Aaron Wendelboe,Ibrahim Saber,Justin Dvorak et al.
Aaron Wendelboe et al.
Background: Venous thromboembolism (VTE) is a preventable, common vascular disease that has been estimated to affect up to 900,000 people per year. It has been associated with risk factors such as recent surgery, cancer, ...
SARS-CoV-2 Omicron Variant Genomic Sequences and Their Epidemiological Correlates Regarding the End of the Pandemic: In Silico Analysis [0.03%]
SARS-CoV-2奥密克戎变异株基因序列及其与大流行结束的流行病学联系：计算机模拟分析
Ashutosh Kumar,Adil Asghar,Himanshu N Singh et al.
Ashutosh Kumar et al.
Background: Emergence of the new SARS-CoV-2 variant B.1.1.529 worried health policy makers worldwide due to a large number of mutations in its genomic sequence, especially in the spike protein region. The World Health Org...
Use of Artificial Intelligence in the Search for New Information Through Routine Laboratory Tests: Systematic Review [0.03%]
人工智能在常规实验室检测中新信息搜索中的应用：系统评价
Glauco Cardozo,Salvador Francisco Tirloni,Antônio Renato Pereira Moro et al.
Glauco Cardozo et al.
Background: In recent decades, the use of artificial intelligence has been widely explored in health care. Similarly, the amount of data generated in the most varied medical processes has practically doubled every year, r...
Multiple-Inputs Convolutional Neural Network for COVID-19 Classification and Critical Region Screening From Chest X-ray Radiographs: Model Development and Performance Evaluation [0.03%]
基于胸部X射线片的COVID-19分类和关键区域筛查的多输入卷积神经网络：模型研发与性能评估
Zhongqiang Li,Zheng Li,Luke Yao et al.
Zhongqiang Li et al.
Background: The COVID-19 pandemic is becoming one of the largest, unprecedented health crises, and chest X-ray radiography (CXR) plays a vital role in diagnosing COVID-19. However, extracting and finding useful image feat...
A Bioinformatics Tool for Predicting Future COVID-19 Waves Based on a Retrospective Analysis of the Second Wave in India: Model Development Study [0.03%]
基于回顾分析印度第二波新冠疫情的COVID-19未来疫情预测生物信息学工具开发研究
Ashutosh Kumar,Adil Asghar,Prakhar Dwivedi et al.
Ashutosh Kumar et al.
Background: Since the start of the COVID-19 pandemic, health policymakers globally have been attempting to predict an impending wave of COVID-19. India experienced a devastating second wave of COVID-19 in the late first w...