THE ROLE OF BIOMEDICAL INFORMATICS IN THE STUDY OF BRONCHOPULMONARY DYSPLASIA

Abstract

Introduction. The review examines the potential for using biomedical informatics to advance bronchopulmonary 
dysplasia (BPD) research and address challenges and opportunities for personalized medicine and predictive analytics. 
This review aims to analyze the possibilities of using biomedical informatics to study bronchopulmonary dysplasia. 
Methods: This review was conducted using electronic search engines such as PubMed and Google Scholar to identify 
publications exploring the application of biomedical informatics in the study of bronchopulmonary dysplasia. The search 
depth was 7 years, from 2018 to 2024. Inclusion criteria were full-text articles in English. Exclusion criteria were articles in 
other languages and closed access. 
Results: Biomedical informatics (BMI) is a powerful set of tools designed to manage and analyze large and diverse 
biomedical data. In addition, biomedical informatics can greatly contribute to BPD research, embracing genomics and 
personalized medicine to identify potential biomarkers and develop personalized treatment strategies. Predictive analytics is 
becoming a key aspect of BMI, providing early diagnosis and risk assessment for timely intervention. Moreover, the ethical 
and legal aspects associated with implementing BMI in BPD research are addressed. 
Conclusion: Biomedical informatics has the potential to provide greater insight into the pathogenesis of BPD, facilitating 
personalized approaches to neonatal care. It will play an important role in opening new frontiers in BPD prognosis, 
prevention, and treatment.