ReviewNPJ digital medicine2024
EU-US data transfers: an enduring challenge for health research collaborations.
Review in NPJ digital medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Beyond Traditional Risk Scores: Artificial Intelligence in Coronary Plaque Characterization and Personalized Atherosclerosis Management.Journal of cardiovascular development and disease · 2026Review
- Rare disease genomics and justice: overview of a workshop at the Fondation Brocher, 22-24 January 2025.Journal of community genetics · 2026Article
- Federated Learning Performance Depends on Site Variation in Global HIV Data Consortia.medRxiv : the preprint server for health sciences · 2026Article
- The potential of artificial intelligence in clinical trials.European journal of clinical investigation · 2026Review
- BRIDGE pilot study: a bilateral regulatory investigation of data governance and exchange.NPJ digital medicine · 2026Article
- mHealth technologies in research studying cardiovascular health in cancer: A systematic review.PLOS digital health · 2025Article
- Integrating mHealth Innovations into Decentralized Oncology Trials.Journal of medical systems · 2025Review
- Leveraging digital pathology and AI to transform clinical diagnosis in developing countries.Frontiers in medicine · 2025Article
- Mapping the regulatory landscape for artificial intelligence in health within the European Union.NPJ digital medicine · 2024Article
- Intelligent technology-driven diabetes prevention and control: From informatization management to artificial intelligence.Science progressReview
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
EU-US data transfers for health research remain a particularly thorny issue in view of the stringent rules of the EU General Data Protection Regulation (GDPR) and the challenges related to US mass surveillance programs, particularly the manner in which US law enforcement and national security agencies can access personal data originating from the EU. Since the entry into force of the GDPR, evidence of impeded collaborations is increasing, particularly in the case of sharing data with US public institutions. The adoption of a new EU-US adequacy decision in July 2023 does not hold the promise for a long-lasting solution due to the risks of being challenged and invalidated - yet again - at the Court of Justice of the EU. As the research community is calling for answers, the new proposal for a European Health Data Space regulation may hold a key to solving some of the existing issues. In this paper, we critically discuss the current rules and outline a possible way forward for transfers between public bodies.
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.