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Research

Differential cell counts using center-point networks achieves human-level accuracy and efficiency over segmentation

Differential cell counts is a challenging task when applying computer vision algorithms to pathology. Existing approaches to train cell recognition require high availability of multi-class segmentation and/or bounding box annotations and suffer in performance when objects are tightly clustered.

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A near-complete genome of the uncultured Staphylococcus aureus phage COMBAT-CF_PAR1 isolated from the lungs of an infant with cystic fibrosis

In cystic fibrosis, bacteria–bacteriophage interaction in the lower airways is poorly understood. We present the near-complete genome of the uncultured Siphovirus-like bacteriophage, Staphylococcus aureus phage COMBAT-CF_PAR1, isolated from the lower airways. The genome spans 41,510 bp with 33.45% guanine–cytosine content and contains 65 open reading frames.

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SYNERGY CF: Getting the best start to life - preventing early cystic fibrosis lung disease by solving the host-inflammation infection conundrum

Cystic fibrosis related progressive lung disease characterised by inflammation and infection commences soon after birth.

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Assessing the unified airway hypothesis in children via transcriptional profiling of the airway epithelium

Upper and lower airways are conserved in their transcriptional composition, and variations associated with disease are present in both nasal and tracheal epithelium

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Assessment of early lung disease in young children with CF: A comparison between pressure-controlled and free-breathing chest computed tomography

Our data suggest that FRC PC-CTs are less sensitive than TLC PC-CTs and that FB-CTs have similar sensitivity to PC-CTs in detecting lung disease

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Oxidative stress and abnormal bioactive lipids in early cystic fibrosis lung disease

Several lipid biomarkers of early cystic fibrosis lung disease were identified, which point toward potential disease monitoring and therapeutic approaches

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BAL Inflammatory Markers Can Predict Pulmonary Exacerbations in Children With Cystic Fibrosis

Pulmonary exacerbations in cystic fibrosis are characterized by airway inflammation and may cause irreversible lung damage. Early identification of such exacerbations may facilitate early initiation of treatment, thereby potentially reducing long-term morbidity. Research question: Is it possible to predict pulmonary exacerbations in children with cystic fibrosis, using inflammatory markers obtained from BAL fluid?

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What’s inside the box? Or shall we think outside the box?

With the deadly and highly transmissible SARS-CoV-2 virus causing the COVID-19 pandemic, there is global concern about the danger of contaminating healthcare workers (HCW), particularly during airway management of infected patients.