BibTex format
@article{Niederer:2026:ajrccm/aamag082,
author = {Niederer, SA and Balmus, M and Burr, C and Chico, TJA and Clayton, RH and Bai, W and Rangel-Smith, C and Wagg, DJ and Wilkinson, RD and Wang, S-Y and Rothman, AMK and Wilkins, MR},
doi = {ajrccm/aamag082},
journal = {Am J Respir Crit Care Med},
pages = {1203--1213},
title = {Digital twins for cardiopulmonary medicine: the case for pulmonary arterial hypertension.},
url = {http://dx.doi.org/10.1093/ajrccm/aamag082},
volume = {212},
year = {2026}
}
RIS format (EndNote, RefMan)
TY - JOUR
AB - The management of pulmonary arterial hypertension (PAH), like so many diseases, currently relies on episodic data from clinic visits, which offers limited insight into a patient's disease trajectory and dynamic clinical decisions. Patient digital twins present a technological solution that combines hospital and community data into a single dynamic and predictive virtual representation of the patient. Digital twins operationalize real-world observational inference at the individual level, functioning as a complementary decision-support tool alongside trial evidence. This review introduces the concept of a patient digital twin and provides a roadmap for the development, evaluation, and potential implementation of a patient digital twin for PAH. The resulting twin has the potential to change PAH care pathways, shifting PAH care from reactive to proactive management.
AU - Niederer,SA
AU - Balmus,M
AU - Burr,C
AU - Chico,TJA
AU - Clayton,RH
AU - Bai,W
AU - Rangel-Smith,C
AU - Wagg,DJ
AU - Wilkinson,RD
AU - Wang,S-Y
AU - Rothman,AMK
AU - Wilkins,MR
DO - ajrccm/aamag082
EP - 1213
PY - 2026///
SP - 1203
TI - Digital twins for cardiopulmonary medicine: the case for pulmonary arterial hypertension.
T2 - Am J Respir Crit Care Med
UR - http://dx.doi.org/10.1093/ajrccm/aamag082
UR - https://www.ncbi.nlm.nih.gov/pubmed/42085247
VL - 212
ER -