ReviewThe EPMA journal2020
Biobanks in the era of big data: objectives, challenges, perspectives, and innovations for predictive, preventive, and personalised medicine.
Review in The EPMA journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 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
27 citing papers in PubMed.
- Microbial biobanking: safeguarding the tiny treasures for sustainable human welfare.Folia microbiologica · 2026Review
- Ethical navigation of biobanking establishment in Ukraine: learning from the experience of developing countries.Journal of medical ethics · 2026Article
- From Biobank to "Bio-Think-Tank": Functional Evolution of UK Biobank in Public Health Policy Making.Public health reviews · 2026Review
- Development of a big data platform for collecting and utilizing clinical information from the Korea Biobank Network.BMC medical informatics and decision making · 2025Article
- Big Data Analytics in Large Cohorts: Opportunities and Challenges for Research in Hepatology.Seminars in liver disease · 2025Review
- Establishing a cryopreserved biobank of living tumor tissues for drug sensitivity testing.Bioactive materials · 2025Article
- Closing the gap in dementia research by community-based cohort studies in the Chinese population.The Lancet regional health. Western Pacific · 2025Review
- Predicting Individual Response to Acupuncture in Sensorineural Tinnitus Using Integrated Functional Near-Infrared Spectroscopy and Machine Learning: Protocol for a Model Development and Validation Study.Journal of multidisciplinary healthcare · 2025Article
- A gap analysis of UK biobank publications reveals SNPs associated with intrinsic subtypes of breast cancer.Computational and structural biotechnology journal · 2024Article
- Review
- Comorbidities confound metabolomics studies of human disease.Scientific reports · 2024Article
- Data Management in Biobanking: Strategies, Challenges, and Future Directions.Biotech (Basel (Switzerland)) · 2024Review
- Genetic tests as the strongest motivator of cooperation between participants and biobanks-Findings from cross-sectional study.Frontiers in genetics · 2024Article
- Do biobanks need pharmacists? Support of pharmacy students to biobanking of human biological material for pharmaceutical research and development.Frontiers in pharmacology · 2024Article
- LUNGBANK: a novel biorepository strategy tailored for comprehensive multiomics analysis and P-medicine applications in lung cancer.Turkish journal of biology = Turk biyoloji dergisi · 2024Article
- Biobanks and data interoperability in Latin America: engendering high-quality evidence for the global research ecosystem.Frontiers in medicine · 2024Review
- Differences of survival benefits brought by various treatments in ovarian cancer patients with different tumor stages.Journal of ovarian research · 2023Article
- A leap of faith: building the trust in human biobanks.Frontiers in genetics · 2023Article
- A Literature Review on Ethics for AI in Biomedical Research and Biobanking.Yearbook of medical informatics · 2022Review
- Application of non-negative matrix factorization in oncology: one approach for establishing precision medicine.Briefings in bioinformatics · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biobanking is entering the new era-era of big data. New technologies, techniques, and knowledge opened the potential of the whole domain of biobanking. Biobanks collect, analyse, store, and share the samples and associated data. Both samples and especially associated data are growing enormously, and new innovative approaches are required to handle samples and to utilize the potential of biobanking data. The data reached the quantity and quality of big data, and the scientists are facing the questions how to use them more efficiently, both retrospectively and prospectively with the aim to discover new preventive methods, optimize treatment, and follow up and to optimize healthcare processes. Biobanking in the era of big data contribute to the development of predictive, preventive, and personalised medicine, for every patient providing the right treatment at the right time. Biobanking in the era of big data contributes to the paradigm shift towards personalising of healthcare.
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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.