ReviewBMC medical genomics2015
From big data analysis to personalized medicine for all: challenges and opportunities.
Review in BMC medical genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 165 papers, 3 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
165 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Clinical Perspective on Proteomic and Glycomic Biomarkers for Diagnosis, Prognosis, and Prediction of Pancreatic Cancer.International journal of molecular sciences · 2021Pooled it
- Germline Variants and Risk for Pancreatic Cancer: A Systematic Review and Emerging Concepts.Pancreas · 2018Pooled it
- A Systematic Review of Techniques and Sources of Big Data in the Healthcare Sector.Journal of medical systems · 2017Pooled it
- Effect of a Virtual Home-Based Behavioral Intervention on Family Health and Resilience During the COVID-19 Pandemic: A Randomized Clinical Trial.JAMA network open · 2022Trial
- Determining the effects and challenges of incorporating genetic testing into primary care management of hypertensive patients with African ancestry.Contemporary clinical trials · 2016Trial
- Ontological deskilling: clinical expertise and the changing disease object in precision medicine.Medicine, health care, and philosophy · 2026Article
- Pipettes and Pipelines: The Weapons of Omics Sciences for a New Age of Clinical Studies.Current issues in molecular biology · 2026Review
- Moving from table to graph in physics-informed spatio-temporal symbolic regression.Scientific reports · 2026Article
- VillageNet: Graph-based, Easily-interpretable, Unsupervised Clustering for Broad Biomedical Applications.ArXiv · 2026Article
- Artificial Intelligence, Informatics, and Pain in Aging.Clinics in geriatric medicine · 2026Review
- Knowledge integration for physics-informed symbolic regression using pre-trained large language models.Scientific reports · 2026Article
- From gut to mouth: salivary signatures of carcinogenic microbiota.Frontiers in cellular and infection microbiology · 2026Review
- Personalized medicine and health equity: overcoming cost barriers and ethical challenges.International journal for equity in health · 2025Review
- PatientProfiler: building patient-specific signaling models from proteogenomic data.Molecular systems biology · 2025Article
- Advancing liver cancer diagnosis and treatment with multi-omics approaches: a systematic review.Discover oncology · 2025Review
- Leveraging Artificial Intelligence and Modulation of Oxidative Stressors to Enhance Healthspan and Radical Longevity.Biomolecules · 2025Review
- Advancing genome-based precision medicine: a review on machine learning applications for rare genetic disorders.Briefings in bioinformatics · 2025Review
- Transcriptome Derived Artificial neural networks predict PRRC2A as a potent biomarker for epilepsy.Journal, genetic engineering & biotechnology · 2025Article
- Innate biosignature of treatment failure in human cutaneous leishmaniasis.Nature communications · 2025Article
- From Data to Cure: A Comprehensive Exploration of Multi-omics Data Analysis for Targeted Therapies.Molecular biotechnology · 2025Review
105 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent advances in high-throughput technologies have led to the emergence of systems biology as a holistic science to achieve more precise modeling of complex diseases. Many predict the emergence of personalized medicine in the near future. We are, however, moving from two-tiered health systems to a two-tiered personalized medicine. Omics facilities are restricted to affluent regions, and personalized medicine is likely to widen the growing gap in health systems between high and low-income countries. This is mirrored by an increasing lag between our ability to generate and analyze big data. Several bottlenecks slow-down the transition from conventional to personalized medicine: generation of cost-effective high-throughput data; hybrid education and multidisciplinary teams; data storage and processing; data integration and interpretation; and individual and global economic relevance. This review provides an update of important developments in the analysis of big data and forward strategies to accelerate the global transition to personalized medicine.
Indexed as
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.