A bioinformatics approach towards bronchopulmonary dysplasia

Area of Science:

• Biomedical Informatics
• Genomics
• Transcriptomics
• Proteomics

Background:

• Bronchopulmonary dysplasia (BPD) is a primary morbidity in premature infants.
• Understanding BPD pathogenesis is a significant clinical challenge.
• Bioinformatics offers novel approaches to study BPD mechanisms.

Purpose of the Study:

• To review the current state-of-the-art in bioinformatics for BPD research.
• To explore the application of omics and machine learning in BPD.
• To identify future research directions and remaining challenges.

Main Methods:

• Literature review using PubMed.
• Keywords: "biomedical informatics", "bioinformatics", "bronchopulmonary dysplasia", "omics".

Main Results:

• Omics approaches are crucial for understanding BPD.
• Machine learning (ML) and systems biology are key for integrating large-scale data.
• Several studies utilizing bioinformatics for BPD were summarized.

Conclusions:

• Bioinformatics enhances understanding of BPD pathogenesis.
• Personalized and precise neonatal care is facilitated by BMI.
• Biomedical informatics plays a vital role in advancing disease understanding and treatment.