Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Exhaled breath contains valuable information at the molecular level and offers promising potential for precision medicine. However, few breath tests transition to routine clinical practice, partly because of the missing validation in multicenter trials. Therefore, we developed and applied an interoperability framework for standardized multicenter data acquisition and processing for breath analysis with secondary electrospray ionization-high resolution mass spectrometry. We aimed to determine the technical variability and metabolic coverage. Comparison of multicenter data revealed a technical variability of ∼20% and a core signature of the human exhaled metabolome consisting of ∼850 features, corresponding mainly to amino acid, xenobiotic, and carbohydrate metabolic pathways. In addition, we found high inter-subject variability for certain metabolic classes (e.g., amino acids and fatty acids), whereas other regions such as the TCA cycle were relatively stable across subjects. The interoperability framework and overview of metabolic coverage presented here will pave the way for future large-scale multicenter trials.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9720009 | PMC |
| http://dx.doi.org/10.1016/j.isci.2022.105557 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Challenges and facilitators of electronic health record implementation: a scoping review.
Int J Med Inform
September 2025
Department of Health Information Sciences, Faculty of Management and Medical Information Sciences, Kerman University of Medical Sciences, Kerman, Iran.
Background And Objective: The rapid advancement of technology has made eHealth a vital part of modern healthcare. Electronic Health Records (EHRs), as core tools of eHealth, enhance care quality, enable access to medical data, and improve coordination among healthcare providers. Implementing EHRs successfully requires understanding the challenges and facilitators involved to inform effective policymaking and management.
View Article and Find Full Text PDFArtificial intelligence-enabled integration of "Fu" culture into the moral education system for special education across K-12 and higher education: a soft computing approach.
Disabil Rehabil Assist Technol
September 2025
Department of Education, Fuzhou University of International Studies and Trade, Fuzhou, China.
This study explores the integration of traditional Chinese "Fu" culture into the moral education system for students with disabilities across K-12 and higher education through artificial intelligence. By leveraging soft computing to handle cultural ambiguities, it constructs an adaptive educational framework that aligns students' cognitive characteristics with curriculum demands, thereby enhancing their identification with Chinese culture. Guided by the theory of the "Second Combination," the research employs AI-powered soft computing to analyze the semantic and cognitive dimensions of "Fu" culture.
View Article and Find Full Text PDFVaccineDesigner: A Web-Based Tool for Streamlined Multi-Epitope Vaccine Design.
Biology (Basel)
August 2025
Lab of Biological Chemistry, School of Medicine, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.
Background: Multi-epitope vaccines have become the preferred strategy for protection against infectious diseases by integrating multiple MHC-restricted T-cell and B-cell epitopes that elicit both humoral and cellular immune responses against pathogens. Computational methods address various aspects independently, yet their orchestration is technically challenging, as most bioinformatics tools are accessible through heterogeneous interfaces and lack interoperability features. The present work proposes a novel framework for rationalized multi-epitope vaccine design that streamlines end-to-end analyses through an integrated web-based environment.
View Article and Find Full Text PDFIntegrating tumor location into artificial intelligence-based prognostic models in cancer.
World J Clin Oncol
August 2025
Department of Gastroenterology, Shanghai Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200336, China.
This letter is a commentary on the findings of Huang , who emphasize the prognostic value of tumor location in gastric cancer. Analyzing data from 3287 patients using Kaplan-Meier and multivariate Cox models, the authors found that the tumor location correlated with patient prognosis following surgery. Patients with tumors situated nearer to the stomach's proximal end were associated with shorter survival periods and poorer outcomes.
View Article and Find Full Text PDFDevelopment and Implementation of an Open, Modular, and Participatory Toolchain for Distributed IT Development in Healthcare Research - Lessons Learned.
Stud Health Technol Inform
September 2025
Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University Leipzig, Germany.
Introduction: Distributed healthcare research infrastructures face significant challenges when translating routine clinical data into harmonized, research-ready formats using HL7 FHIR standards.
State Of The Art: Existing FHIR-based pipelines such as the SMART/HL7 FHIR Bulk Data Access API, FHIR-to-OMOP mappings, and analytical services like Pathling demonstrate technical feasibility. However, most assume semantically valid FHIR data, operate within single-institution settings, and lack practical guidance for deployment across heterogeneous, regulated environments.