ReviewJournal of translational medicine2025
Machine learning and multi-omics in precision medicine for ME/CFS.
Review in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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
17 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Machine learning-based risk predictive model for postoperative refractures in patients with osteoporotic vertebral compression fractures: a systematic review and critical appraisal.BMC musculoskeletal disorders · 2026Pooled it
- Advances in orofacial pain research: a bibliometric analysis.Frontiers in neurology · 2025Pooled it
- Low-Dose Ionizing Radiation and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS): A Review of Recent Evidence and Future Research Directions Toward the Elucidation of a Metabolic, Immunologic, and Signaling Cascade.International journal of molecular sciences · 2026Review
- Raman Spectroscopy Combined with Machine Learning Reveals Myalgic Encephalomyelitis-Associated Biomolecular Signatures at Rest and After Standardized Stress.International journal of molecular sciences · 2026Article
- Toward a Molecular Reclassification of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: Integrating Multi-Omics, Machine Learning, and Precision Medicine.International journal of molecular sciences · 2026Review
- Neurovascular and synaptic milieu of brain-resident cells in cognitive dysfunction of myalgic encephalomyelitis/chronic fatigue syndrome.Journal of translational medicine · 2026Review
- Pathophysiological mechanisms of fatigue and multidisciplinary management strategies (Review).Experimental and therapeutic medicine · 2026Review
- Pathophysiological, Translational, and Diagnostic Aspects of ME/CFS: A Focus on Skeletal Muscle Involvement.Diagnostics (Basel, Switzerland) · 2026Review
- Charting the circulating proteome in ME/CFS using cross-system profiling to uncover mechanistic insights.Cell reports. Medicine · 2026Article
- Moving Toward Objective Diagnosis in Fibromyalgia: Emerging Biomarkers and Digital Phenotyping Tools.Biomedicines · 2026Review
- Exploring a genetic basis for the metabolic perturbations in ME/CFS using UK biobank.iScience · 2026Article
- Diagnosis of chronic fatigue syndrome using beat-to-beat autonomic measurements.Journal of translational medicine · 2025Article
- Precision Medicine in Orthobiologics: A Paradigm Shift in Regenerative Therapies.Bioengineering (Basel, Switzerland) · 2025Review
- Circulating cell-free RNA signatures for the characterization and diagnosis of myalgic encephalomyelitis/chronic fatigue syndrome.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Biomarkers over Time: From Visual Contrast Sensitivity to Transcriptomics in Differentiating Chronic Inflammatory Response Syndrome and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome.International journal of molecular sciences · 2025Review
- Advancements in lung cancer: molecular insights, innovative therapies, and future prospects.Medical oncology (Northwood, London, England) · 2025Review
- The potential therapeutic approaches targeting gut health in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS): a narrative review.Journal of translational medicine · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a complex and multifaceted disorder that defies simplistic characterisation. Traditional approaches to diagnosing and treating ME/CFS have often fallen short due to the condition's heterogeneity and the lack of validated biomarkers. The growing field of precision medicine offers a promising approach which focuses on the genetic and molecular underpinnings of individual patients. In this review, we explore how machine learning and multi-omics (genomics, transcriptomics, proteomics, and metabolomics) can transform precision medicine in ME/CFS research and healthcare. We provide an overview on machine learning concepts for analysing large-scale biological data, highlight key advancements in multi-omics biomarker discovery, data quality and integration strategies, while reflecting on ME/CFS case study examples. We also highlight several priorities, including the critical need for applying robust computational tools and collaborative data-sharing initiatives in the endeavour to unravel the biological intricacies of ME/CFS.
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.