The development of the term‘imaging genomics’.Despite significant advancements in human genomics,the phenotypic and clinical relevance of genomic features remains largely unknown.Imaging genomics,also known as radio...The development of the term‘imaging genomics’.Despite significant advancements in human genomics,the phenotypic and clinical relevance of genomic features remains largely unknown.Imaging genomics,also known as radiogenomics,was proposed to find the associations between clinical image data and human genetic data,facilitating a better understanding of the molecular characteristics of diseases.Originally,imaging data are acquired mainly by Magnetic Resonance Imaging(MRI)for brain disease detection.展开更多
The transformation from authoritative to user-generated data landscapes has garnered considerable attention,notably with the proliferation of crowdsourced geospatial data.Facilitated by advancements in digital technol...The transformation from authoritative to user-generated data landscapes has garnered considerable attention,notably with the proliferation of crowdsourced geospatial data.Facilitated by advancements in digital technology and high-speed communication,this paradigm shift has democratized data collection,obliterating traditional barriers between data producers and users.While previous literature has compartmentalized this subject into distinct platforms and application domains,this review offers a holistic examination of crowdsourced geospatial data.Employing a narrative review approach due to the interdisciplinary nature of the topic,we investigate both human and Earth observations through crowdsourced initiatives.This review categorizes the diverse applications of these data and rigorously examines specific platforms and paradigms pertinent to data collection.Furthermore,it addresses salient challenges,encompassing data quality,inherent biases,and ethical dimensions.We contend that this thorough analysis will serve as an invaluable scholarly resource,encapsulating the current state-of-the-art in crowdsourced geospatial data,and offering strategic directions for future interdisciplinary research and applications across various sectors.展开更多
基金supported by the Self-supporting Program of Guangzhou Laboratory(SRPG22007)the CAS Research Fund(XDB38050200).
文摘The development of the term‘imaging genomics’.Despite significant advancements in human genomics,the phenotypic and clinical relevance of genomic features remains largely unknown.Imaging genomics,also known as radiogenomics,was proposed to find the associations between clinical image data and human genetic data,facilitating a better understanding of the molecular characteristics of diseases.Originally,imaging data are acquired mainly by Magnetic Resonance Imaging(MRI)for brain disease detection.
基金supported by the Faculty Startup Fund of the College of Arts and Sciences at Emory University.
文摘The transformation from authoritative to user-generated data landscapes has garnered considerable attention,notably with the proliferation of crowdsourced geospatial data.Facilitated by advancements in digital technology and high-speed communication,this paradigm shift has democratized data collection,obliterating traditional barriers between data producers and users.While previous literature has compartmentalized this subject into distinct platforms and application domains,this review offers a holistic examination of crowdsourced geospatial data.Employing a narrative review approach due to the interdisciplinary nature of the topic,we investigate both human and Earth observations through crowdsourced initiatives.This review categorizes the diverse applications of these data and rigorously examines specific platforms and paradigms pertinent to data collection.Furthermore,it addresses salient challenges,encompassing data quality,inherent biases,and ethical dimensions.We contend that this thorough analysis will serve as an invaluable scholarly resource,encapsulating the current state-of-the-art in crowdsourced geospatial data,and offering strategic directions for future interdisciplinary research and applications across various sectors.
