6 citations · 6 across the 3 of their papers we have counts for
4 papers
Making Models That Matter: How to Build Trustworthy and Useful Systems Biology Models
John M. Hancock, Mihail Anton, Frank T. Bergmann +23
Computational models supporting mechanistic understanding of (complex) biological systems, systems behaviour prediction, and experimental design are becoming more and more embedded…
APICURON: a reactive infrastructure for credit attribution across distributed research data ecosystems
Adel Bouhraoua, Mehdi Zoubiri, Gavin Farrell +11
Data-driven biology relies on structured knowledge generated by expert biocurators, yet this work remains largely unrecognized in traditional academic assessments. To bridge this g…
Open and Sustainable AI: challenges, opportunities and the road ahead in the life sciences (October 2025 -- Version 2)
Gavin Farrell, Eleni Adamidi, Rafael Andrade Buono +27
Artificial intelligence (AI) has recently seen transformative breakthroughs in the life sciences, expanding possibilities for researchers to interpret biological information at an…
DOME Registry: Implementing community-wide recommendations for reporting supervised machine learning in biology
Omar Abdelghani Attafi, Damiano Clementel, Konstantinos Kyritsis +17
Supervised machine learning (ML) is used extensively in biology and deserves closer scrutiny. The DOME recommendations aim to enhance the validation and reproducibility of ML resea…