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ABSTRACT: Background and objective
Bronchopulmonary dysplasia (BPD) is the most common morbidity associated with prematurity and remains a significant clinical challenge. Bioinformatic approaches, such as genomics, transcriptomics, and proteomics, have emerged as novel methods for studying the underlying mechanisms driving BPD pathogenesis. These methods can be used alongside clinical data to develop a better understanding of BPD and potentially identify the most at risk neonates within the first few weeks of neonatal life. The objective of this review is to provide an overview of the current state-of-the-art in bioinformatics for BPD research.Methods
We conducted a literature review of bioinformatics approaches for BPD using PubMed. The following keywords were used: "biomedical info
SUBMITTER: Valadie CT
PROVIDER: S-EPMC10326754 | biostudies-literature | 2023 Jun
REPOSITORIES: biostudies-literature