About this Research Topic
The objective of this Research Topic is to provide a comprehensive overview of the recent advancements in breathomics, with a particular focus on exploring the association between exhaled breath VOCs and diseases. The aim is to delve deeper into the scientific underpinnings of this emerging field and to assess its potential in modern healthcare.
Focusing on the following four areas:
• Investigating the mechanism of breath biomarkers and diseases, including assessing unique VOC signatures associated with different diseases, potential VOC profiles for early disease screening, and influences of various factors such as diet, lifestyle, and environmental exposure on breath VOC composition.
• Advancements in breath analysis technologies, including novel analytical techniques for the detection and quantification of VOCs in exhaled breath and applications of standardized protocols for breath sample collection, storage, and analysis.
• Machine learning and AI-driven data processing in breathomics, including the development of predictive models for disease classification and risk prediction, integration of multi-omics data with breathomics data for comprehensive disease profiling, and validation strategies for assessing the robustness and generalizability of AI-driven models.
• Clinical applications of breathomics, including evaluation of breathomics-based diagnostic tools in clinical settings, monitoring disease progression and treatment response through longitudinal breath analysis or pharmacokinetics studies, and exploring the potential of breathomics in personalized medicine and disease screening.
Topic editor Meixiu Sun is employed by WIM Spirare Health Technology Limited. The other Topic Editors declare no potential conflicts of interest with regards to the Research.
Keywords: breath analysis, breathomics, volatile organic compounds (VOC), disease diagnostics, machine learning, artificial intelligence
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