The promise of cardiomyocyte computational models for drug safety
LETTER TO THE EDITOR|Updated:2026-06-10
|
The promise of cardiomyocyte computational models for drug safety
The promise of cardiomyocyte computational models for drug safety
Military Medical Research2026年13卷第4期 页码:682-685
Affiliations:
1.Beijing National Center for Applied Mathematics, Capital Normal University, Beijing 100048, China
2.Department of Computer Science, University of Oxford, Oxford OX1 3QD, UK
Author bio:
* Lei Wang lei.wang@cnu.edu.cn
Funds:
the National Key Research and Development Program of China(2023YFA1011400;2023YFA1011402);the National Natural Science Foundation of China(82241208);the Beijing Outstanding Young Scientist Program(JWZQ20240101027);the Beijing Natural Science Foundation(QY24299;QY25382)
Lei Wang, Blanca Rodriguez. The promise of cardiomyocyte computational models for drug safety[J]. Military Medical Research, 2026,13(4):682-685.
Lei Wang, Blanca Rodriguez. The promise of cardiomyocyte computational models for drug safety[J]. Military Medical Research, 2026, 13(4): 682-685.
Lei Wang, Blanca Rodriguez. The promise of cardiomyocyte computational models for drug safety[J]. Military Medical Research, 2026,13(4):682-685. DOI: 10.1186/s40779-025-00675-3.
Lei Wang, Blanca Rodriguez. The promise of cardiomyocyte computational models for drug safety[J]. Military Medical Research, 2026, 13(4): 682-685. DOI: 10.1186/s40779-025-00675-3.
The promise of cardiomyocyte computational models for drug safety
Non-invasive evaluation of muscle invasion and survival prognosis in bladder cancer using enhanced CT-based deep learning radiomics: a multi-center real-world cohort study
Pathophysiology-guided biomarkers and therapeutics for precision trauma medicine in polytrauma with musculoskeletal injuries
Integrating artificial intelligence with human reasoning in oncology: questions on real-world implementation and patient-centric evidence
Leveraging artificial intelligence for clinical decision support in personalized standard regimen recommendation for cancer