A novel translational bioinformatics framework for facilitating multimodal data analyses in preclinical models of neurological injury

A novel translational bioinformatics framework for facilitating multimodal data analyses in preclinical models of neurological injury

Abstract Pediatric neurological injury and disease is a critical public health issue due to increasing rates of survival from primary injuries (e.g., cardiac arrest, traumatic brain injury) and a lack of monitoring technologies and therapeutics for treatment of secondary neurological injury. Transla...

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Bibliographic Details
Main Authors: Hunter A. Gaudio, Viveknarayanan Padmanabhan, William P. Landis, Luiz E. V. Silva, Julia Slovis, Jonathan Starr, M. Katie Weeks, Nicholas J. Widmann, Rodrigo M. Forti, Gerard H. Laurent, Nicolina R. Ranieri, Frank Mi, Rinat E. Degani, Thomas Hallowell, Nile Delso, Hannah Calkins, Christiana Dobrzynski, Sophie Haddad, Shih-Han Kao, Misun Hwang, Lingyun Shi, Wesley B. Baker, Fuchiang Tsui, Ryan W. Morgan, Todd J. Kilbaugh, Tiffany S. Ko
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Data engineering
Data visualization
Multimodal data processing
Pediatric neurological injury
Preclinical research
Translational research
Online Access:https://doi.org/10.1038/s41598-024-79973-0

Internet

https://doi.org/10.1038/s41598-024-79973-0

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