Transforming neonatal care with artificial intelligence: challenges, ethical consideration, and opportunities

BA Sullivan, K Beam, ZA Vesoulis, KB Aziz… - Journal of …, 2024 - nature.com
Artificial intelligence (AI) offers tremendous potential to transform neonatology through
improved diagnostics, personalized treatments, and earlier prevention of complications …

[HTML][HTML] Bridging the gap: Exploring bronchopulmonary dysplasia through the lens of biomedical informatics

J Kim, M Villarreal, S Arya, A Hernandez… - Journal of Clinical …, 2024 - mdpi.com
Bronchopulmonary dysplasia (BPD), a chronic lung disease predominantly affecting
premature infants, poses substantial clinical challenges. This review delves into the promise …

[HTML][HTML] The eNAMPT/TLR4 inflammatory cascade drives the severity of intra-amniotic inflammation in pregnancy and predicts infant outcomes

M Ahmed, NG Casanova, N Zaghloul, A Gupta… - Frontiers in …, 2023 - frontiersin.org
Introduction: Intra-amniotic inflammation (IAI) or chorioamnionitis is a common complication
of pregnancy producing significant maternal morbidity/mortality, premature birth and …

A novel deep learning-based approach for prediction of neonatal respiratory disorders from chest X-ray images

AE Yildirim, M Canayaz - Biocybernetics and Biomedical Engineering, 2023 - Elsevier
In recent years, many diseases can be diagnosed in a short time with the use of deep
learning models in the field of medicine. Most of the studies in this area focus on adult or …

Bronchopulmonary dysplasia: analysis and validation of ferroptosis-related diagnostic biomarkers and immune cell infiltration features

C Fang, H Tu, R Li, D Bi, G Shu - Pediatric Research, 2024 - nature.com
Background Early and precise diagnosis of bronchopulmonary dysplasia (BPD) is essential
to improve the prognosis of preterm infants with BPD. Studying ferroptosis-related genes for …

[HTML][HTML] A bioinformatics approach towards bronchopulmonary dysplasia

CT Valadie, S Arya, T Arora, NR Pandillapalli… - Translational …, 2023 - ncbi.nlm.nih.gov
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Early Rheumatoid Arthritis Detection by miRNA Data Analysis Using a Hybrid CNN-LSTM Deep Learning Model

NM Ali - 2023 Intelligent Methods, Systems, and Applications …, 2023 - ieeexplore.ieee.org
Transcriptomic data analysis has significantly evolved thanks to the high throughput data
technology. Analyzing this data can notably support the early detection of several diseases …

Prédiction du parcours de soins et du développement des enfants vulnérables

L Anzelin - 2023 - theses.hal.science
Les enfants nés grands prématurés (avant 32 semaines d'aménorrhée) ou avec un très
faible poids de naissance (moins de 1 500g) présentent un risque accru de développement …