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Multi-omic signatures relate to the severity of pulmonary outcome in neonates traced into adult disease.
Network syst. med. 1, 4-19 (2025)
This report provides an overview of the workshop "Research Ethics in the Age of AI," which addressed the ethical challenges and opportunities presented by generative AI (genAI) in research. The workshop, jointly organized by the Helmholtz Open Science Office and Helmholtz Information & Data Science Academy (HIDA), gathered experts from diverse disciplines to explore issues such as the responsible use of AI, and the interlinks between AI and data privacy as well as authorship, and transparency in scientific practices. Key discussions revolved around the importance of maintaining scientific integrity, the challenges of mitigating biases, and the need for adaptable (or “living”) guidelines that support AI literacy and ethical use across research fields. The report concludes with insights for continued collaboration and framework development to uphold ethical standards in AI-driven research at Helmholtz (and beyond).
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
bronchopulmonary dysplasia (BPD); preterm neonatal lung; lung development; disease endotypes; disease severity; biomarkers; chronic obstructive pulmonary disease (COPD); random forest; differential abundance analysis; multi-omics latent factor analysis
e-ISSN
2573-3370
Journal
Network and systems medicine
Quellenangaben
Volume: 1,
Issue: 1,
Pages: 4-19
Publisher
Mary Ann Liebert
Reviewing status
Peer reviewed