Human in silico modeling guided by transcriptomics predicts drug-induced proarrhythmicity as a function of age.
- DOI
- 10.1016/j.cmpb.2026.109670
- Published
- 2027 Jan
- Container
- Computer methods and programs in biomedicine
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.cmpb.2026.109670,
title = {Human in silico modeling guided by transcriptomics predicts drug-induced proarrhythmicity as a function of age.},
author = {Garrido-Huéscar E and Rosales RM and Pérez-Zabalza M and Laguna P and Ordovás L and Pueyo E},
year = {2027},
journal = {Computer methods and programs in biomedicine},
doi = {10.1016/j.cmpb.2026.109670},
url = {https://doi.org/10.1016/j.cmpb.2026.109670}
}RIS
TY - JOUR TI - Human in silico modeling guided by transcriptomics predicts drug-induced proarrhythmicity as a function of age. AU - Garrido-Huéscar E AU - Rosales RM AU - Pérez-Zabalza M AU - Laguna P AU - Ordovás L AU - Pueyo E PY - 2027 JO - Computer methods and programs in biomedicine DO - 10.1016/j.cmpb.2026.109670 UR - https://doi.org/10.1016/j.cmpb.2026.109670 ER -
APA
E, G., RM, R., M, P., P, L., L, O., & E, P. (2027). Human in silico modeling guided by transcriptomics predicts drug-induced proarrhythmicity as a function of age.. Computer methods and programs in biomedicine. https://doi.org/10.1016/j.cmpb.2026.109670
Source records
- pubmed · retrieved 2026-11-10T15:47:10.587Z