Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9869150PMC
http://dx.doi.org/10.3389/fimmu.2022.1075335DOI Listing

Publication Analysis

Top Keywords

editorial irradiation
4
irradiation technologies
4
technologies vaccine
4
vaccine development
4
editorial
1
technologies
1
vaccine
1
development
1

Similar Publications

Following the publication of the above article, a concerned reader drew to the Editor's attention that certain of the western blot assay data shown in Fig. 4G on p. 717 were strikingly similar to data that had appeared in a paper published previously in the journal , which had been written by different authors at different research institutes.

View Article and Find Full Text PDF

Background: Acanthamoeba keratitis (AK) is the most challenging corneal infection to treat, with conventional therapies often proving ineffective. While photoactivated chromophore for keratitis-corneal cross-linking (PACK-CXL) with riboflavin/UV-A has shown success in treating bacterial and fungal keratitis, and PACK-CXL with rose bengal/green light has demonstrated promise in fungal keratitis, neither approach has been shown to effectively eradicate AK. This case study explores a novel combined same-session treatment approach using both riboflavin/UV-A and rose bengal/green light in a single procedure.

View Article and Find Full Text PDF

Background: Interstitial lung diseases (ILDs) comprise a family of heterogeneous entities, primarily characterised by chronic scarring of the lung parenchyma. Among ILDs, idiopathic pulmonary fibrosis (IPF) is the most common idiopathic interstitial pneumonitis, associated with progressive functional decline leading to respiratory failure, a high symptom burden, and mortality. Notably, the incidence of lung cancer (LC) in patients already affected by ILDs-mainly IPF-is significantly higher than in the general population.

View Article and Find Full Text PDF

Objective: This study aims to assess and compare two state-of-the-art deep learning approaches for segmenting four thoracic organs at risk (OAR)-the esophagus, trachea, heart, and aorta-in CT images in the context of radiotherapy planning.

Materials And Methods: We compare a multi-organ segmentation approach and the fusion of multiple single-organ models, each dedicated to one OAR. All were trained using nnU-Net with the default parameters and the full-resolution configuration.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!