ArticleTrends in analytical chemistry : TRAC2024
Artificial Intelligence in Metabolomics: A Current Review.
Article in Trends in analytical chemistry : TRAC, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
31 citing papers in PubMed.
- Metabolomic profiles impacted by brief mindfulness intervention with contributions to improved health.Scientific reports · 2025Trial
- Emerging Quantitative Targeted Metabolomics Approaches for Future Inborn Errors of Metabolism Screening.Diagnostics (Basel, Switzerland) · 2026Review
- Metabolomics and Artificial Intelligence (AI) assisted metabolomics in the diagnosis of non-tuberculous mycobacterial infections: progress and challenges.New microbes and new infections · 2026Review
- Assessing current capabilities for incorporating lipidomics in multiomics data integration.Briefings in bioinformatics · 2026Review
- Artificial intelligence in functional food innovation: Bioactive enhancement and formulation optimization: A quasi-systematic review.Food chemistry: X · 2026Review
- Phenylalanine homeostasis in metabolic disorders: epidemiological trends, pathophysiological mechanisms, and clinical treatment.Frontiers in endocrinology · 2026Review
- Metabolic Reprogramming and Immune Metabolism in Sepsis: Targeting the PPAR Pathway for Personalized Therapeutic Approaches.PPAR research · 2026Review
- Preksha Dhyana meditation modulates the serum metabolome in healthy and meditation-naïve participants.Frontiers in molecular biosciences · 2026Article
- Metabolomics-driven prediction of antibiotic resistance: a perspective on pre-genetic intervention.npj antimicrobials and resistance · 2025Review
- Holistic concept guided quality control of traditional Chinese medicines for optimizing bioavailability.Chinese medicine · 2025Review
- Unlocking the potential: multimodal AI in biotechnology and digital medicine-economic impact and ethical challenges.NPJ digital medicine · 2025Review
- Discrimination of Dried Ginger and Its Different Processed Products: Untargeted Metabolomics, Network Pharmacology, and Machine Learning.ACS omega · 2025Article
- Artificial Intelligence as a Scientific Copilot in Analytical Chemistry: Transforming How We Write, Review, and Publish.Analytical chemistry · 2025Review
- Artificial Intelligence-Based Methods and Omics for Mental Illness Diagnosis: A Review.Bioengineering (Basel, Switzerland) · 2025Review
- 3D-Printed Microfluidic-Based Cell Culture System With Analysis to Investigate Macrophage Activation.Electrophoresis · 2025Article
- Metabolomic stratification of shock: pathophysiological insights for personalized critical care.Annals of intensive care · 2025Article
- Chemotaxonomy, an Efficient Tool for Medicinal Plant Identification: Current Trends and Limitations.Plants (Basel, Switzerland) · 2025Review
- Validated metabolomic biomarkers in psychiatric disorders: a narrative review.Molecular medicine (Cambridge, Mass.) · 2025Review
- A Pilot Metabolomic Study for DiagnosingInternational journal of molecular sciences · 2025Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Metabolomics and artificial intelligence (AI) form a synergistic partnership. Metabolomics generates large datasets comprising hundreds to thousands of metabolites with complex relationships. AI, aiming to mimic human intelligence through computational modeling, possesses extraordinary capabilities for big data analysis. In this review, we provide a recent overview of the methodologies and applications of AI in metabolomics studies in the context of systems biology and human health. We first introduce the AI concept, history, and key algorithms for machine learning and deep learning, summarizing their strengths and weaknesses. We then discuss studies that have successfully used AI across different aspects of metabolomic analysis, including analytical detection, data preprocessing, biomarker discovery, predictive modeling, and multi-omics data integration. Lastly, we discuss the existing challenges and future perspectives in this rapidly evolving field. Despite limitations and challenges, the combination of metabolomics and AI holds great promises for revolutionary advancements in enhancing human health.
Indexed as
Identifiers
What Socratic 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 Socratic graph.