Eunkyoung Kim,Jinyang Li,Mijeong Kang et al.
Eunkyoung Kim et al.
Biology is well-known for its ability to communicate through (i) molecularly-specific signaling modalities and (ii) a globally-acting electrical modality associated with ion flow across biological membranes. Emerging research suggests that ...
The Translational Potential of Neuroimaging Genomic Analyses To Diagnosis And Treatment In The Mental Disorders [0.03%]
神经影像基因组学分析在精神障碍诊断和治疗中的转化潜力
Jiayu Chen,Jingyu Liu,Vince D Calhoun
Jiayu Chen
Imaging genomics focuses on characterizing genomic influence on the variation of neurobiological traits, holding promise for illuminating the pathogenesis, reforming the diagnostic system, and precision medicine of mental disorders. This pa...
CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer Assisted Interventions [0.03%]
CAI4CAI：计算机辅助介入中情境人工智能的兴起
Tom Vercauteren,Mathias Unberath,Nicolas Padoy et al.
Tom Vercauteren et al.
Data-driven computational approaches have evolved to enable extraction of information from medical images with a reliability, accuracy and speed which is already transforming their interpretation and exploitation in clinical practice. While...
Li Shen,Paul M Thompson
Li Shen
Brain imaging genomics is an emerging data science field, where integrated analysis of brain imaging and genomics data, often combined with other biomarker, clinical and environmental data, is performed to gain new insights into the phenoty...
Wireless Network Design for Emerging IIoT Applications: Reference Framework and Use Cases [0.03%]
新兴IIOT应用的无线网络设计：参考框架与应用场景
Yongkang Liu,Mohamed Kashef,Kang Lee et al.
Yongkang Liu et al.
Industrial Internet of Things (IIoT) applications, featured with data-centric innovations, are leveraging the observability, control, and analytics, as well as the safety of industrial operations. In IIoT deployments, wireless links are inc...
Predicting Chronic Disease Hospitalizations from Electronic Health Records: An Interpretable Classification Approach [0.03%]
基于电子健康记录预测慢性病住院：一种可解释的分类方法
Theodora S Brisimi,Tingting Xu,Taiyao Wang et al.
Theodora S Brisimi et al.
Urban living in modern large cities has significant adverse effects on health, increasing the risk of several chronic diseases. We focus on the two leading clusters of chronic disease, heart disease and diabetes, and develop data-driven met...
Laura Balzano,Yuejie Chi,Yue M Lu
Laura Balzano
For many modern applications in science and engineering, data are collected in a streaming fashion carrying time-varying information, and practitioners need to process them with a limited amount of memory and computational resources in a ti...
Applications of community detection techniques to brain graphs: Algorithmic considerations and implications for neural function [0.03%]
社区检测技术在脑图谱中的应用：算法考虑及对神经功能的意义
Javier O Garcia,Arian Ashourvan,Sarah F Muldoon et al.
Javier O Garcia et al.
The human brain can be represented as a graph in which neural units such as cells or small volumes of tissue are heterogeneously connected to one another through structural or functional links. Brain graphs are parsimonious representations ...
Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain Graphs [0.03%]
图论在脑连接静态和动态评估中的应用：构建脑图的方法
Qingbao Yu,Yuhui Du,Jiayu Chen et al.
Qingbao Yu et al.
Human brain connectivity is complex. Graph theory based analysis has become a powerful and popular approach for analyzing brain imaging data, largely because of its potential to quantitatively illuminate the networks, the static architectur...
A novel pathway analysis approach based on the unexplained disregulation of genes [0.03%]
一种基于基因未解释的失调情况的新途径分析方法
Sahar Ansari,Calin Voichita,Michele Donato et al.
Sahar Ansari et al.
A crucial step in the understanding of any phenotype is the correct identification of the signaling pathways that are significantly impacted in that phenotype. However, most current pathway analysis methods produce both false positives as w...