Peer-reviewedCC BYFrontiers in physiology
Accelerating cardiovascular digital twin creation using precomputed virtual populations as Bayesian priors
- 1Medical and Health Informatics Laboratories, NTT Research, Inc. , , ,
- 2Embody Biosciences , , ,
Related
- Elevated Lipoprotein(a) in Asian Populations and its Implications for Cardiovascular Disease.
- Long-Term Cardiovascular, Thromboembolic, and Malignancy Safety of Janus Kinase (JAK) Inhibitors in Dermatologic and Rheumatologic Populations: A Narrative Comparative Review.
- Blood Flow Restriction in Athletic Populations-Part 3: Applications for Cardiovascular Conditioning, Performance Priming, and Clinical Management.
- Integrated multiomic scores for cardiovascular disease prediction across multiancestral populations
- Sex-Specific Cross-Sectional Associations and Exploratory Mediation Analysis of Cardiovascular Disease Risk by Neutrophil-to-Lymphocyte Ratio in Cadmium-Exposed Populations.
BibTeX
@article{shelly2026accelerating,
title = {{Accelerating cardiovascular digital twin creation using precomputed virtual populations as Bayesian priors}},
author = {Iris L. Shelly and Jon N. Peterson and Giulia Cornali and Jennifer Rohrs and Patrick E. Gelbach and Joe Alexander},
journal = {Frontiers in physiology},
year = {2026},
month = oct,
url = {https://europepmc.org/article/PMC/PMC13658946},
note = {CC BY},
}
RIS
TY - JOUR
TI - Accelerating cardiovascular digital twin creation using precomputed virtual populations as Bayesian priors
AU - Iris L. Shelly
AU - Jon N. Peterson
AU - Giulia Cornali
AU - Jennifer Rohrs
AU - Patrick E. Gelbach
AU - Joe Alexander
PY - 2026
DA - 2026/10/16
JO - Frontiers in physiology
UR - https://europepmc.org/article/PMC/PMC13658946
SN - 1664-042X
ER -