ArticleAnnual review of biomedical data science2020
Spatial Metabolomics and Imaging Mass Spectrometry in the Age of Artificial Intelligence.
Article in Annual review of biomedical data science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 139 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
139 citing papers in PubMed, 256 citations in OpenAlex.
- Improving detection of low-abundant pharmaceuticals and neurotransmitters via quadrupole isolation in MALDI mass spectrometry imaging.Analytical and bioanalytical chemistry · 2026Article
- MALDI mass spectrometry imaging across spatial scales in toxicology: tissue evidence, cellular heterogeneity, and emerging single-cell opportunities.Analytical and bioanalytical chemistry · 2026Review
- NMR-based metabolic profiling in urine for bipolar disorder manic episode.Irish journal of medical science · 2026Article
- Overview of molecular mechanisms underlying stress responses; signaling pathways and secondary metabolite synthesis in plants.Plant molecular biology · 2026Review
- Spatial Association Between Polyamine Metabolism and Lipid Peroxidation in Different Pathological Regions of Glioblastoma.Biomedicines · 2026Article
- Spatially Resolved Multi-Omics Reveals Brain-Kidney Compartmentalization and Region-Specific Molecular Reprogramming After Acute Nicotine Exposure.Metabolites · 2026Article
- Insights From Spatiality: Accelerating Pharmaceutical Research Using Mass Spectrometry Imaging.Medicinal research reviews · 2026Review
- Ten quick tips for spatial transcriptomics analysis.PLoS computational biology · 2026Review
- TIMSImaging: an open and interoperable workflow for trapped ion mobility mass spectrometry imaging data processing and visualization.Bioinformatics (Oxford, England) · 2026Article
- Truthful visualizations for mass spectrometry imaging enable high-spatial-resolution interactiveScience advances · 2026Article
- Computational Mass Spectrometry Imaging in the Era of AI.Chemical reviews · 2026Review
- Immune niches in brain tumors: glial-immune cell interactions and spatial microdomains.Acta neuropathologica communications · 2026Review
- MS-based metabolic profiling in serum for bipolar disorder.Metabolic brain disease · 2026Article
- Review
- LYNX: a deep generative model for linking spatial dynamics and cell interactions in multimodal spatial data.bioRxiv : the preprint server for biology · 2026Article
- A historical journey of metabolite-protein interaction discovery: from data harmonization to AI-driven prediction.Briefings in bioinformatics · 2026Review
- Integrated Spatial Metabolomics and Transcriptomics Decipher the Effect of Chronic Stress on the Progression of Liver Cancer.Applied biochemistry and biotechnology · 2026Article
- Mechanobiology-Driven Metabolic Reprogramming: Integrative Roles of YAP/TAZ Signaling and Extracellular Matrix Dynamics.Cell biology international · 2026Review
- Automated separation of overlapping fingermarks by non-negative matrix factorization of DESI mass spectrometry imaging data.Analytical and bioanalytical chemistry · 2026Article
- Metab8D: a metabolic regulome network from multiomics and machine learning.Communications biology · 2026Article
79 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 2 countries.
Funding
Abstract
Spatial metabolomics is an emerging field of omics research that has enabled localizing metabolites, lipids, and drugs in tissue sections, a feat considered impossible just two decades ago. Spatial metabolomics and its enabling technology-imaging mass spectrometry-generate big hyper-spectral imaging data that have motivated the development of tailored computational methods at the intersection of computational metabolomics and image analysis. Experimental and computational developments have recently opened doors to applications of spatial metabolomics in life sciences and biomedicine. At the same time, these advances have coincided with a rapid evolution in machine learning, deep learning, and artificial intelligence, which are transforming our everyday life and promise to revolutionize biology and healthcare. Here, we introduce spatial metabolomics through the eyes of a computational scientist, review the outstanding challenges, provide a look into the future, and discuss opportunities granted by the ongoing convergence of human and artificial intelligence.
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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.