BeatProfiler: Multimodal In Vitro Analysis of Cardiac Function Enables Machine Learning Classification of Diseases and Drugs

Kim, Y., Wang, K., Lock, R. I., Nash, T. R., Fleischer, S., Wang, B. Z., Fine, B. M., & Vunjak-Novakovic, G. (2024). BeatProfiler: Multimodal In Vitro Analysis of Cardiac Function Enables Machine Learning Classification of Diseases and Drugs. IEEE Open Journal of Engineering in Medicine and Biology, 5, 238–249. https://doi.org/10.1109/ojemb.2024.3377461
Authors:
Youngbin Kim
Kunlun Wang
Roberta Lock
Trevor R. Nash
Sharon Fleischer
Bryan Z. Wang
Barry Fine
Gordana Vunjak‐Novakovic
Affiliated Authors:
Youngbin Kim
Kunlun Wang
Roberta Lock
Trevor R. Nash
Sharon Fleischer
Bryan Z. Wang
Barry Fine
Gordana Vunjak‐Novakovic
Columbia Affiliation:
Subjects:
Molecular Mechanisms of Cardiac Arrhythmias (OpenAlex Topic)
Recommendations for Cardiac Chamber Quantification by Echocardiography (OpenAlex Topic)
Analysis of Electrocardiogram Signals (OpenAlex Topic)
Author Keywords:
calcium
calcium handling
cardiac analysis
contractile function
drug response
machine learning (ml)
elink
Publication Type:
Article
Unique ID:
10.1109/ojemb.2024.3377461
PMID:
38606403
DOI:
10.1109/ojemb.2024.3377461
Journal:
IEEE Open Journal of Engineering in Medicine and Biology
Publication Date:
Data Source:
OpenAlex
Source Link:
View OpenAlex Record
View Web of Science Record

Record Created: