Proceedings of the 15 <sup>th</sup> International Newborn Brain Conference: Other forms of brain monitoring, such as NIRS, fMRI, biochemical, etc.

BACKGROUND AND OBJECTIVE: 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. METHODS:In this prospective study, we investigated preterm neonates born <34 weeks of gestation between 2011 to 2023 with intraventricular hemorrhage (IVH).We performed targeted proteomics analysis on different biological matrices (blood, urine, and CSF), derived from a longitudinal neonatal cohort spanning a decade.We employed explainable machine learning (ML) algorithms

Authors

Institutions

Publication Details

Journal
Journal of Neonatal-Perinatal Medicine
Published
2024-08-05
DOI
https://doi.org/10.3233/npm-249004
Primary Topic
Neonatal and fetal brain pathology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Proceedings of the 15 th International Newborn Brain Conference: Other forms of brain monitoring, such as NIRS, fMRI, biochemical, etc.

Christina H. Wolfsberger, Julia Tatz, Aisling A. Garvey, Gianluca Lista et al.
Journal of Neonatal-Perinatal Medicine
Neonatal and fetal brain pathology
article

Proceedings of the 15 th International Newborn Brain Conference: Other forms of brain monitoring, such as NIRS, fMRI, biochemical, etc.

Christina H. Wolfsberger, Julia Tatz, Aisling A. Garvey, Gianluca Lista, Monika Olischar, Julia Buchmayer, Sara Cherkerzian, Christoph Schlatzer, Emanuele Bartolini, Gerhard Pichler, Katharina Goeral, Christoph E. Schwarz, Rathinaswamy B. Govindan, Nariae Baik‐Schneditz, Steven J. Schiff, Ronald Mulondo, Eugene Dempsey, Marvin Seruwu, Deirdre M. Murray, Georg Marcus Schmölzer, Marlies Bruckner, Nicholas Nicoletti, Tatiana Nuzum, Chelsea Munster, Oğuz Tuncer, Berndt Urlesberger, Khorshid Mohammad, Pauline de Jesus, Silvia Schönthaler, Moses Wabukoma, Jenny Bua, Eyyüp Yürektürk, Edith Mbabazi Kabachelor, John B. Sunwoo, Andrea Pardo, Helen Christou, Maria Angela Franceschini, Joshua Magombe, Balázs Hauser, Sean Mathieson, Elena V. Wachtel, Lilijana Kornhauser-Cerar, Jason Sutin, Anna Lucia Paltrinieri, Mohamed El‐Dib, Andreea Pavel, Kerstin Gründler, Rutvi Vyas, Laila Springer, Dimitrios Rallis, Gregor J. Kasprian, Hoda El-Shibiny, Enikő Szakmár, Miklós Szabó, Brenda Hiu Yan Law, Ajay Rajaram, Kristine Woodward, James P. Boardman, Michael Woglom, Katrin Klebermass‐Schrehof, Sean M. Bailey, Georg Langs, Nur Aycan, Ceyda Acun, Subhash Puthuraya, Mirjam Steiner, Vito Giordano, Bernhard Schwaberger, Klemens Vierlinger, P. Ellen Grant, Esther Nalule, C. Hsiao, Terrie E. Inder, Silvia Orlandi, Hans Friedrich Fuchs, Daniel Pfurtscheller, U Kiechl-Kohlendorfer, M. O'Donnell, Seh Hyun Kim, Hany Aly, Daragh Finn, Vicki Livingstone, Davis Natukwatsa, Geraldine B. Boylan, Ágnes Jermendy, Martha Caprio, Ilaria Stucchi, Murat Başaranoğlu, Janine Y. Khan, Tomasz Szczapa, Angelika Berger, Sarah D. Schlatterer, Sandra Pusil, Tina Perme, Katie Hannon, Àngel Bazán, Lukas Mileder, Sarolta H. Trinh, Luca Laura Bogner, Wei Liu, Serap Karaman, Pei‐Yi Lin, Michael Moore, John E. OʼToole, Seth R. Goldstein, Alam Randhawa, Priska Bauerstätter, Starlin Tindimwebwa, Gabriel A. Vignolle, Collins Akugizibwe, Venkata Chirumammilla, Isaac Emurang, German Figueroa, Imran Ilahi, Enock Kainja, Miriah Kemigisha Katugi, Melinda Kis-Tamás, Rakesh Lavu, Cara Pleau, Ana Laguna Pradas, Helen L Turner, Magdolna Barra, Julia Elis, Sreenivas Karnati, Berenice Ramirez, Łukasz Karpiński, Simeo Ochieng, Lisa Klein, Christa Nöhammer, Marlene Hammer, Nicola J. Robertson, Derya Cay Demir, Vera Balog, Alexa AschAlexander Avian, Benjamin C. Warf, Michael J. Esser
article en

Abstract

BACKGROUND AND OBJECTIVE: 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. METHODS:In this prospective study, we investigated preterm neonates born <34 weeks of gestation between 2011 to 2023 with intraventricular hemorrhage (IVH).We performed targeted proteomics analysis on different biological matrices (blood, urine, and CSF), derived from a longitudinal neonatal cohort spanning a decade.We employed explainable machine learning (ML) algorithms

Journal of Neonatal-Perinatal MedicineVol. 17(3)
Semmelweis University (HU), Brigham and Women's Hospital (US), Boston Children's Hospital (US), Children's Hospital of Orange County (US), AIT Austrian Institute of Technology GmbH (AT), Harvard University (US), Innsbruck Medical University (AT), Universität Innsbruck (AT), University of Ioannina (GR), Medical University of Graz (AT), University of California, Irvine (US), University College Cork (IE), Ljubljana University Medical Centre (SI), Cork University Hospital (IE), Yale University (US), Massachusetts General Hospital (US), Comprehensive Cancer Center Vienna (AT), Laboratori Guglielmo Marconi (Italy) (IT), Infant (IE), University Children's Hospital Tübingen (DE), Athinoula A. Martinos Center for Biomedical Imaging (US), Ospedale dei Bambini Vittore Buzzi (IT), Boston Children's Museum (US), CURE Children’s Hospital of Uganda (UG), Universitat de Barcelona (ES), Medical University of Vienna (AT), University of Bologna (IT)
Openalex Percentile: Top 81%
Neonatal and fetal brain pathology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.