We are pleased to share the publication of the article:
“Zero-shot evidence-grounded extraction of blood-brain barrier nanoparticle design parameters with open-weight language models” in Machine Learning: Science and Technology.
This work, led by Halidu Abdulai, explores how open-weight language models can be leveraged to automatically extract critical nanoparticle design parameters from the scientific literature—contributing to more efficient, reproducible research at the intersection of AI and nanomedicine.
The study is the result of Halidu’s master’s thesis work at Universitat de les Illes Balears and was co-supervised by Cristina Manresa-Yee (Universitat de les Illes Balears), Hergys Rexha and Sebastien Lafond (Åbo Akademi University)
👏 Congratulations to Halidu and all co-authors on this achievement!
🔗 Read the paper: https://doi.org/10.1088/2632-2153/ae5442
🔗 Check out all EDISS Master’s theses: https://www.master-ediss.eu/masters-thesis
🔗 Check out all scientific articles published by EDISS students as part of their EDISS studies: https://www.master-ediss.eu/scientific-articles
Last updated on 6 May 2026
