ReviewBioMed research international2014
Managing, analysing, and integrating big data in medical bioinformatics: open problems and future perspectives.
Review in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 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
42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 174 citations in OpenAlex.
- Strokecopilot: a literature-based clinical decision support system for acute ischemic stroke treatment.Journal of neurology · 2023Pooled it
- A Systematic Review of Techniques and Sources of Big Data in the Healthcare Sector.Journal of medical systems · 2017Pooled it
- Assessing the Evolution and Influence of Medical Open Databases on Biomedical Research and Health Care Innovation: A 25-Year Perspective With a Focus on Privacy and Privacy-Enhancing Technologies.Journal of medical Internet research · 2026Article
- Network-based integrative analysis of multi-level regulatory mechanisms associated with glyphosate exposure.Frontiers in bioinformatics · 2026Article
- Machine learning-based risk prediction of overt hepatic encephalopathy after transjugular intrahepatic portosystemic shunt in patients with cirrhosis: a cohort study.Frontiers in medicine · 2026Article
- Bioinformatics and artificial intelligence in genomic data analysis: current advances and future directions.Molecular genetics and genomics : MGG · 2025Review
- PEDI: Towards Efficient Pathway Enrichment and Data Integration in Bioinformatics for Healthcare Using Deep Learning Optimisation.Biomedical engineering and computational biology · 2025Article
- Global health and human well-being - A systematic review.AIMS public health · 2025Review
- Detection of Disease Features on Retinal OCT Scans Using RETFound.Bioengineering (Basel, Switzerland) · 2024Article
- Anesthesia decision analysis using a cloud-based big data platform.European journal of medical research · 2024Review
- One Step Ahead in Realizing Pharmacogenetics in Low- and Middle-Income Countries: What Should We Do?Journal of multidisciplinary healthcare · 2024Review
- A guide to the BRAIN Initiative Cell Census Network data ecosystem.PLoS biology · 2023Article
- Multiple sclerosis and computational biology (Review).Biomedical reports · 2022Review
- A novel mind-set in primate experimentation: Implications for primate welfare.Animal models and experimental medicine · 2021Review
- 0s and 1s in marine molecular research: a regional HPC perspective.GigaScience · 2021Article
- GenoVault: a cloud based genomics repository.BioData mining · 2021Article
- Computational methods for chromosome-scale haplotype reconstruction.Genome biology · 2021Review
- A Semantic-Based Approach for Managing Healthcare Big Data: A Survey.Journal of healthcare engineering · 2020Review
- Enhancing efficiency and scientific impact of a clinical trials network: the Pediatric Heart Network Integrated CARdiac Data and Outcomes (iCARD) Collaborative.Cardiology in the young · 2019Review
- Responsible Data Governance of Neuroscience Big Data.Frontiers in neuroinformatics · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The explosion of the data both in the biomedical research and in the healthcare systems demands urgent solutions. In particular, the research in omics sciences is moving from a hypothesis-driven to a data-driven approach. Healthcare is additionally always asking for a tighter integration with biomedical data in order to promote personalized medicine and to provide better treatments. Efficient analysis and interpretation of Big Data opens new avenues to explore molecular biology, new questions to ask about physiological and pathological states, and new ways to answer these open issues. Such analyses lead to better understanding of diseases and development of better and personalized diagnostics and therapeutics. However, such progresses are directly related to the availability of new solutions to deal with this huge amount of information. New paradigms are needed to store and access data, for its annotation and integration and finally for inferring knowledge and making it available to researchers. Bioinformatics can be viewed as the "glue" for all these processes. A clear awareness of present high performance computing (HPC) solutions in bioinformatics, Big Data analysis paradigms for computational biology, and the issues that are still open in the biomedical and healthcare fields represent the starting point to win this challenge.
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.