Proceedings of the 15th International Newborn Brain Conference: Other forms of brain monitoring, such as NIRS, fMRI, biochemical, etc. Fota Island, Cork, Ireland, February 28th – March 2nd 2024: Machine learning predicts outcomes in preterm neonates with intraventricular hemorrhage using targeted proteomics

Silvia Schöntaler; Christa Nöhammer; Monika Olischar; Angelika Berger; Gregor Kasprian; Georg Langs; Klemens Vierlinger; Nicholas  Nicoletti; Rakesh  Lavu; Wei  Liu; Sreenivas  Karnati; Subhash  Puthuraya; Helen L  Turner; James P  Boardman; Nicola J  Robertson; Ana Laguna  Pradas; Bernhard  Schwaberger; Gerhard Pichler; Mohamed  El-Dib; Seth  Goldstein; John  Sunwoo; Sarah Schlatterer

doi:10.3233/npm-249004

Proceedings of the 15th International Newborn Brain Conference: Other forms of brain monitoring, such as NIRS, fMRI, biochemical, etc. Fota Island, Cork, Ireland, February 28th – March 2nd 2024: Machine learning predicts outcomes in preterm neonates with intraventricular hemorrhage using targeted proteomics

, Silvia Schöntaler, Christa Nöhammer, Monika Olischar, Angelika Berger, Gregor Kasprian, Georg Langs, Klemens Vierlinger, Nicholas Nicoletti, Rakesh Lavu, Wei Liu, Sreenivas Karnati, Subhash Puthuraya, Helen L Turner, James P Boardman, Nicola J Robertson, Ana Laguna Pradas, Bernhard Schwaberger, Gerhard Pichler, Mohamed El-DibSeth Goldstein, John Sunwoo, Sarah Schlatterer

Molecular Diagnostics

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Article number	1
Pages (from-to)	S393-S394
Number of pages	2
Journal	Journal of Neonatal-Perinatal Medicine
Issue number	17
DOIs	https://doi.org/10.3233/npm-249004
Publication status	Published - 5 Aug 2024

Research Field

Molecular Diagnostics

Web of Science subject categories (JCR Impact Factors)

Medicine, Research & Experimental

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3233/npm-249004

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, Schöntaler, S., Nöhammer, C., Olischar, M., Berger, A., Kasprian, G., Langs, G., Vierlinger, K., Nicoletti, N., Lavu, R., Liu, W., Karnati, S., Puthuraya, S., Turner, H. L., Boardman, J. P., Robertson, N. J., Pradas, A. L., Schwaberger, B., Pichler, G., ... Schlatterer, S. (2024). Proceedings of the 15th International Newborn Brain Conference: Other forms of brain monitoring, such as NIRS, fMRI, biochemical, etc. Fota Island, Cork, Ireland, February 28th – March 2nd 2024: Machine learning predicts outcomes in preterm neonates with intraventricular hemorrhage using targeted proteomics. Journal of Neonatal-Perinatal Medicine, (17), S393-S394. Article 1. https://doi.org/10.3233/npm-249004

Schöntaler, Silvia ; Nöhammer, Christa et al. / Proceedings of the 15th International Newborn Brain Conference: Other forms of brain monitoring, such as NIRS, fMRI, biochemical, etc. Fota Island, Cork, Ireland, February 28th – March 2nd 2024 : Machine learning predicts outcomes in preterm neonates with intraventricular hemorrhage using targeted proteomics. In: Journal of Neonatal-Perinatal Medicine. 2024 ; No. 17. pp. S393-S394.

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title = "Proceedings of the 15th International Newborn Brain Conference: Other forms of brain monitoring, such as NIRS, fMRI, biochemical, etc. Fota Island, Cork, Ireland, February 28th – March 2nd 2024: 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",

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doi = "10.3233/npm-249004",

language = "English",

pages = "S393--S394",

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Schöntaler, S, Nöhammer, C, Olischar, M, Berger, A, Kasprian, G, Langs, G, Vierlinger, K, Nicoletti, N, Lavu, R, Liu, W, Karnati, S, Puthuraya, S, Turner, HL, Boardman, JP, Robertson, NJ, Pradas, AL, Schwaberger, B, Pichler, G, El-Dib, M, Goldstein, S & Sunwoo, J & Schlatterer, S 2024, 'Proceedings of the 15th International Newborn Brain Conference: Other forms of brain monitoring, such as NIRS, fMRI, biochemical, etc. Fota Island, Cork, Ireland, February 28th – March 2nd 2024: Machine learning predicts outcomes in preterm neonates with intraventricular hemorrhage using targeted proteomics', Journal of Neonatal-Perinatal Medicine, no. 17, 1, pp. S393-S394. https://doi.org/10.3233/npm-249004

Proceedings of the 15th International Newborn Brain Conference: Other forms of brain monitoring, such as NIRS, fMRI, biochemical, etc. Fota Island, Cork, Ireland, February 28th – March 2nd 2024: Machine learning predicts outcomes in preterm neonates with intraventricular hemorrhage using targeted proteomics. /; Schöntaler, Silvia; Nöhammer, Christa et al.
In: Journal of Neonatal-Perinatal Medicine, No. 17, 1, 05.08.2024, p. S393-S394.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Proceedings of the 15th International Newborn Brain Conference: Other forms of brain monitoring, such as NIRS, fMRI, biochemical, etc. Fota Island, Cork, Ireland, February 28th – March 2nd 2024

T2 - Machine learning predicts outcomes in preterm neonates with intraventricular hemorrhage using targeted proteomics

AU - Acun, Ceyda

AU - Aly, Hany

AU - Bauerstätter, Priska

AU - Goeral, Katharina

AU - Schöntaler, Silvia

AU - Nöhammer, Christa

AU - Olischar, Monika

AU - Berger, Angelika

AU - Kasprian, Gregor

AU - Langs, Georg

AU - Vierlinger, Klemens

AU - Nicoletti, Nicholas

AU - Lavu, Rakesh

AU - Liu, Wei

AU - Karnati, Sreenivas

AU - Puthuraya, Subhash

AU - Turner, Helen L

AU - Boardman, James P

AU - Robertson, Nicola J

AU - Pradas, Ana Laguna

AU - Schwaberger, Bernhard

AU - Pichler, Gerhard

AU - El-Dib, Mohamed

AU - Goldstein, Seth

AU - Sunwoo, John

AU - Schlatterer, Sarah

PY - 2024/8/5

Y1 - 2024/8/5

N2 - 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.

AB - 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.

KW - Machine learning

KW - pediatrics

KW - Biomarker discovery

UR - http://dx.doi.org/10.3233/npm-249004

U2 - 10.3233/npm-249004

DO - 10.3233/npm-249004

M3 - Article

SN - 1934-5798

SP - S393-S394

JO - Journal of Neonatal-Perinatal Medicine

JF - Journal of Neonatal-Perinatal Medicine

IS - 17

M1 - 1

ER -

Schöntaler S, Nöhammer C, Olischar M, Berger A, Kasprian G et al. Proceedings of the 15th International Newborn Brain Conference: Other forms of brain monitoring, such as NIRS, fMRI, biochemical, etc. Fota Island, Cork, Ireland, February 28th – March 2nd 2024: Machine learning predicts outcomes in preterm neonates with intraventricular hemorrhage using targeted proteomics. Journal of Neonatal-Perinatal Medicine. 2024 Aug 5;(17):S393-S394. 1. doi: 10.3233/npm-249004