刊·见 | JCR Q1期刊探索分子诊断，AI如何赋能临床医学？
本期刊·见为诸位介绍医学领域期刊Expert Review of Molecular Diagnostics。除了对期刊进行详尽的介绍外，还向您介绍刊内近三年高被引文章，以及近一年高阅读量文章：
- 基于纳米材料的光学和电化学生物传感器在检测β淀粉样蛋白和tau蛋白中的应用：对阿尔茨海默病早期诊断的潜力。
- 使用基于MOS传感器阵列的电子鼻，通过呼吸分析对慢性阻塞性肺病和肺癌进行无创检测。
- 人工智能辅助检测年龄相关性黄斑变性中的黄斑萎缩。
- 增强的线粒体基因组分析：生物信息学和长序列测序的进展及其诊断意义。
ISSN 1473-7159 e-ISSN 1744-8352
Expert Review of Molecular Diagnostics发表分子诊断方面的综述文章和原创论文。本刊主要关注疾病分子病因的检测与监控技术，以及这些技术如何转化为突破性的临床诊断和预后技术，致力于报道分子诊断领域的关键进展，同时探讨在临床实施中面临的重大挑战。期刊期待简洁，一目了然的投稿。
该期刊已被SCIE，Scopus，BIOBASE，CAS，EMBASE等数据库收录。
影响因子
根据JCR显示，Expert Review of Molecular Diagnostics
在病理学领域排名 13/76
CiteScore
根据Scopus显示，Expert Review of Molecular Diagnostics
CiteScore（2022）为 6.9
CiteScoreTracker（2023）为 6.4
医学：
病理学和法医学 29/193
生物化学遗传学和分子生物学：
分子医学 71/171
遗传学 100/328
分子生物学 165/380
中国科学院分区
根据2023年12月27日发布的中国科学院文献情报中心期刊分区表（升级版）显示：
大类及分区：医学 3区
小类及分区：病理学 3区
作者须知
接收文章类型
期刊接收的稿件类型包括但不限于：
与分子诊断学相关的当前和新兴主题的评论文章
讨论该领域争议性问题的社论
诊断专题，对诊断测试进行独立的专家评估
原创研究--详细介绍临床研究的手稿，并提供未曾公开的数据
每篇综述都以"专家合辑"(Expert Collection)进行全面报道，包括以下部分：
专家见解（Expert Opinion）：作者对文中展示数据的个人见解，对未来可能产生重要影响的发展趋势分析，以及随着进一步研究揭示更多细节时有望成为热点的研究途径探讨。
文章要点（Article Highlights）：简明扼要地总结作者最为关键的观点与发现。
审稿周期
- 从提交稿件到获取初审意见，平均需要 28天
- 获取首个同行评审决定，平均需要 64天
- 稿件一旦接受后，在线出版平均需要 8天
加速出版
本刊提供加速出版服务，详情点击下方图片👇
最快3-5周发表 | 48本医学与健康及药学领域期刊提供加速出版服务
主编介绍
Attila T Lorincz
Attila T Lorincz是英国伦敦玛丽皇后大学分子流行病学名誉教授。
作者分布
根据JCR显示，近三年在Expert Review of Molecular Diagnostics发文的国家中，发文前三的国家有美国，中国和意大利。
近三年，在Expert Review of Molecular Diagnostics发文的全球高校和科研机构中，发文数量排名前三位的是美国加州大学系统，美国印第安纳大学系统和香港伊丽莎白女王医院。
近三年内高被引文章
基于纳米材料的光学和电化学生物传感器在检测β淀粉样蛋白和tau蛋白中的应用：对阿尔茨海默病早期诊断的潜力
作者：Le Minh Tu Phan et al.
文章摘要：
Introduction
Alzheimer’s disease (AD), a heterogeneous pathological process representing the most common causes of dementia worldwide, has required early and accurate diagnostic tools. Neuropathological hallmarks of AD involve the aberrant accumulation of Amyloid beta (Aβ) into Amyloid plaques and hyperphosphorylated Tau into neurofibrillary tangles, occurring long before the onset of brain dysfunction.
Areas covered:Considering the significance of Aβ and Tau in AD pathogenesis, these proteins have been adopted as core biomarkers of AD, and their quantification has provided precise diagnostic information to develop next-generation AD therapeutic approaches. However, conventional diagnostic methods may not suffice to achieve clinical criteria that are acceptable for proper diagnosis and treatment. The advantages of nanomaterial-based biosensors including facile miniaturization, mass fabrication, ultra-sensitivity, make them useful to be promising tools to measure Aβ and Tau simultaneously for accurate validation of low-abundance yet potentially informative biomarkers of AD..
Expert opinion
The study has identified the potential application of advanced biosensors as standardized clinical diagnostic tools for AD, evolving the way for new and efficient AD control with minimum economic and social burden. After clinical trial, nanobiosensors for measuring Aβ and Tau simultaneously possess innovative diagnosis of AD to provide significant contributions to primary Alzheimer’s care intervention.
使用基于MOS传感器阵列的电子鼻，通过呼吸分析对慢性阻塞性肺病和肺癌进行无创检测
作者：Binson V A, M. Subramoniam & Luke Mathew
文章摘要：
Introduction
This paper describes the research work done toward the development of a breath analyzing electronic nose (e-nose), and the results obtained from testing patients with lung cancer, patients with chronic obstructive pulmonary disease (COPD), and healthy controls. Pulmonary diseases like COPD and lung cancer are detected with MOS sensor array-based e-noses. The e-nose device with the sensor array, data acquisition system, and pattern recognition can detect the variations of volatile organic compounds (VOC) present in the expelled breath of patients and healthy controls.
Materials and methods
This work presents the e-nose equipment design, study subjects selection, breath sampling procedures, and various data analysis tools. The developed e-nose system is tested in 40 patients with lung cancer, 48 patients with COPD, and 90 healthy controls.
Results
In differentiating lung cancer and COPD from controls, support vector machine (SVM) with 3-fold cross-validation outperformed all other classifiers with an accuracy of 92.3% in cross-validation. In external validation, the same discrimination was achieved by k-nearest neighbors (k-NN) with 75.0% accuracy.
Conclusion
The reported results show that the VOC analysis with an e-nose system holds exceptional possibilities in noninvasive disease diagnosis applications.
近一年内高阅读量文章
人工智能辅助检测年龄相关性黄斑变性中的黄斑萎缩
作者：Wei Wei et al.
An example of OCT images to detect MA.
文章摘要：
Introduction
Age-related macular degeneration (AMD) is a leading cause of irreversible visual impairment worldwide. The endpoint of AMD, both in its dry or wet form, is macular atrophy (MA) which is characterized by the permanent loss of the RPE and overlying photoreceptors either in dry AMD or in wet AMD. A recognized unmet need in AMD is the early detection of MA development.
Areas covered
Artificial Intelligence (AI) has demonstrated great impact in detection of retinal diseases, especially with its robust ability to analyze big data afforded by ophthalmic imaging modalities, such as color fundus photography (CFP), fundus autofluorescence (FAF), near-infrared reflectance (NIR), and optical coherence tomography (OCT). Among these, OCT has been shown to have great promise in identifying early MA using the new criteria in 2018.
Expert opinion
There are few studies in which AI-OCT methods have been used to identify MA; however, results are very promising when compared to other imaging modalities. In this paper, we review the development and advances of ophthalmic imaging modalities and their combination with AI technology to detect MA in AMD. In addition, we emphasize the application of AI-OCT as an objective, cost-effective tool for the early detection and monitoring of the progression of MA in AMD.
增强的线粒体基因组分析：生物信息学和长序列测序的进展及其诊断意义
作者：William L. Macken et al.
Mitochondrial DNA.
文章摘要：
Introduction
Primary mitochondrial diseases (PMDs) comprise a large and heterogeneous group of genetic diseases that result from pathogenic variants in either nuclear DNA (nDNA) or mitochondrial DNA (mtDNA). Widespread adoption of next-generation sequencing (NGS) has improved the efficiency and accuracy of mtDNA diagnoses; however, several challenges remain.
Areas covered
In this review, we briefly summarize the current state of the art in molecular diagnostics for mtDNA and consider the implications of improved whole genome sequencing (WGS), bioinformatic techniques, and the adoption of long-read sequencing, for PMD diagnostics.
Expert opinion
We anticipate that the application of PCR-free WGS from blood DNA will increase in diagnostic laboratories, while for adults with myopathic presentations, WGS from muscle DNA may become more widespread. Improved bioinformatic strategies will enhance WGS data interrogation, with more accurate delineation of mtDNA and NUMTs (nuclear mitochondrial DNA segments) in WGS data, superior coverage uniformity, indirect measurement of mtDNA copy number, and more accurate interpretation of heteroplasmic large-scale rearrangements (LSRs). Separately, the adoption of diagnostic long-read sequencing could offer greater resolution of complex LSRs and the opportunity to phase heteroplasmic variants.
Plain Language Summary
Mitochondria generate our bodies’ energy, and they contain their own circular DNA molecules. Changes in this mitochondrial DNA can cause a wide range of genetic diseases. Improved computer processing of the sequence of this DNA and new techniques that can read the full DNA sequence in one experiment may enhance our ability to understand these genetic variants.
为帮助更多科研人员选择更加合适的期刊，Taylor & Francis推出专栏——刊·见，该专栏致力于为读者和广大科研人员带来Taylor & Francis旗下期刊的详细解读，从期刊的基本情况、编委阵容、社会影响力到审稿速度、高被引文章等实用信息，专栏将为您带来最详细的介绍，让您更加全面地了解Taylor & Francis旗下优秀的国际期刊，帮助更多中国卓越科研成果顺利在国际期刊上发表。
以上内容可能更新，请以期刊官网主页为准。
使用下方链接，查看期刊最新数据和投稿详情！
http://985.so/9y5nw