ArticleBriefings in bioinformatics2026
Translational bioinformatics stalls at implementation.
Article in Briefings in bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
24 authors.
Funding
Abstract
Bioinformatics tools are increasingly important for diagnostics in clinical care and precision medicine, but despite a very active bioinformatics research community, implementation and adaptation is slow. Drawing on multidisciplinary expertise, we have identified key systemic barriers on the journey from research to implementation, using the Danish healthcare ecosystem as the example. We find the main obstacles to be regulatory uncertainty, fragmented data access, and limited infrastructure for implementation. Cultural resistance to commercialization and workforce gaps further impedes progress. We believe that these challenges reflect broader international trends and could be generally applicable. Consensus recommendations include centralized data and regulatory resources, cross-sector collaboration models, and pilot initiatives to support scalable implementation. These findings offer a roadmap for translating bioinformatics innovation into clinical practice.
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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.