ArticleCell reports. Physical science2022
AI/ML-driven advances in untargeted metabolomics and exposomics for biomedical applications.
Article in Cell reports. Physical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
28 citing papers in PubMed.
- Exercise and Sports Metabolomics: Analytical Platforms, Metabolite Annotation, Pathway-Level Interpretation, and Biomarker-Panel Readiness.Metabolites · 2026Review
- Emerging Quantitative Targeted Metabolomics Approaches for Future Inborn Errors of Metabolism Screening.Diagnostics (Basel, Switzerland) · 2026Review
- Lightweight liquid neural networks decipher salivary metabolic fingerprinting for high-risk periodontitis screening in diabetes.NPJ digital medicine · 2026Article
- Current Advancements in Untargeted Metabolomics Analysis and Testing Driven by Machine Learning: Prospects for Artificial Intelligence in Patient-Centric Healthcare Transformation.Applied biochemistry and biotechnology · 2026Review
- AI redefine untargeted metabolomics: estimating chemical amounts for a Human Exposome Project.Frontiers in public health · 2026Review
- AI-Driven Quantitative Metabolomics for Early and Precise HIE Diagnosis: Challenges and Solutions.ACS omega · 2025Review
- Multiclass Assays for Measuring Environmental Chemical Mixture Exposure: Analytical Methodologies and Applications in Exposomics Research.Metabolites · 2025Review
- An interpretable machine learning model predicts the interactive and cumulative risks of different environmental chemical exposures on depression.Translational psychiatry · 2025Article
- Leveraging chemical synthesis to discover metabolites from the gut microbiome.Annals of the New York Academy of Sciences · 2025Review
- Comparative analysis of continuous similarity measures for compound identification in mass spectrometry-based metabolomics.Chemometrics and intelligent laboratory systems : an international journal sponsored by the Chemometrics Society · 2025Article
- Validated metabolomic biomarkers in psychiatric disorders: a narrative review.Molecular medicine (Cambridge, Mass.) · 2025Review
- Machine learning-based MRI radiomics predict IL18 expression and overall survival of low-grade glioma patients.NPJ precision oncology · 2025Article
- Bioanalysis of antihypertensive drugs by LC-MS: a fleeting look at the regulatory guidelines and artificial intelligence.Bioanalysis · 2025Review
- Development of an optimised method for the analysis of human blood plasma samples by atmospheric solids analysis probe mass spectrometry.International journal of mass spectrometry · 2025Article
- Comparative analysis of machine learning techniques in metabolomic-based preterm birth prediction.Computational and structural biotechnology journal · 2025Article
- Research on Lipidomic Profiling and Biomarker Identification for Osteonecrosis of the Femoral Head.Biomedicines · 2024Article
- Emerging Biomarkers in Metabolomics: Advancements in Precision Health and Disease Diagnosis.International journal of molecular sciences · 2024Review
- Techniques, Databases and Software Used for Studying Polar Metabolites and Lipids of Gastrointestinal Parasites.Animals : an open access journal from MDPI · 2024Review
- Artificial Intelligence in Metabolomics: A Current Review.Trends in analytical chemistry : TRAC · 2024Article
- The Millennia-Long Development of Drugs Associated with the 80-Year-Old Artificial Intelligence Story: The Therapeutic Big Bang?Molecules (Basel, Switzerland) · 2024Review
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Metabolomics describes a high-throughput approach for measuring a repertoire of metabolites and small molecules in biological samples. One utility of untargeted metabolomics, unbiased global analysis of the metabolome, is to detect key metabolites as contributors to, or readouts of, human health and disease. In this perspective, we discuss how artificial intelligence (AI) and machine learning (ML) have promoted major advances in untargeted metabolomics workflows and facilitated pivotal findings in the areas of disease screening and diagnosis. We contextualize applications of AI and ML to the emerging field of high-resolution mass spectrometry (HRMS) exposomics, which unbiasedly detects endogenous metabolites and exogenous chemicals in human tissue to characterize exposure linked with disease outcomes. We discuss the state of the science and suggest potential opportunities for using AI and ML to improve data quality, rigor, detection, and chemical identification in untargeted metabolomics and exposomics studies.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.