@article{3b44468bf39a427cb04386581f4f5569,
title = "Proceedings of the 15th International Newborn Brain Conference: Other forms of brain monitoring, such as NIRS, fMRI, biochemical, etc.: Machine learning predicts outcomes in preterm neonates with intraventricular hemorrhage using targeted proteomics",
abstract = "Preterm neonates with intraventricular hemorrhage (IVH) are at risk for posthemorrhagic ventricular dilatation (PHVD). In recent years targeted proteomics has developed into a powerful protein quantifi cation tool in biomedical research, systems biology, and clinical applications. This study aims to inform therapeutic decision-making and parental counseling using proteomics in this high-risk group.",
keywords = "Machine learning, pediatrics, Biomarker discovery",
author = "Ceyda Acun and Hany Aly and Priska Bauerst{\"a}tter and Katharina Goeral and Silvia Sch{\"o}ntaler and Christa N{\"o}hammer and Monika Olischar and Angelika Berger and Gregor Kasprian and Georg Langs and Klemens Vierlinger and Nicholas Nicoletti and Rakesh Lavu and Wei Liu and Sreenivas Karnati and Subhash Puthuraya and Turner, \{Helen L\} and Boardman, \{James P\} and Robertson, \{Nicola J\} and Pradas, \{Ana Laguna\} and Bernhard Schwaberger and Gerhard Pichler and Mohamed El-Dib and Seth Goldstein and John Sunwoo and Sarah Schlatterer",
year = "2024",
month = aug,
day = "5",
doi = "10.3233/npm-249004",
language = "English",
pages = "S393--S394",
journal = "Journal of Neonatal-Perinatal Medicine",
issn = "1934-5798",
publisher = "SAGE Publications Ltd",
number = "17",
}
