Multi-omics feature engineering driven by biomedical foundation models improves drug response prediction for inflammatory bowel disease patients
- DOI
- 10.1038/s41598-026-44366-y
- Published
- 2026-03-17
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-44366-y,
title = {Multi-omics feature engineering driven by biomedical foundation models improves drug response prediction for inflammatory bowel disease patients},
author = {Laura-Jayne Gardiner and Jennifer Kelly and Ashley Evans and Stephen Checkley and Karen Bingham and Graeme Macluskie and David Bunton},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-44366-y},
url = {https://doi.org/10.1038/s41598-026-44366-y}
}RIS
TY - JOUR TI - Multi-omics feature engineering driven by biomedical foundation models improves drug response prediction for inflammatory bowel disease patients AU - Laura-Jayne Gardiner AU - Jennifer Kelly AU - Ashley Evans AU - Stephen Checkley AU - Karen Bingham AU - Graeme Macluskie AU - David Bunton PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-44366-y UR - https://doi.org/10.1038/s41598-026-44366-y ER -
APA
Gardiner, L., Kelly, J., Evans, A., Checkley, S., Bingham, K., Macluskie, G., & Bunton, D. (2026). Multi-omics feature engineering driven by biomedical foundation models improves drug response prediction for inflammatory bowel disease patients. Scientific Reports. https://doi.org/10.1038/s41598-026-44366-y
Source records
- crossref · retrieved 2026-09-26T22:45:42.865Z