Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.acap.2023.06.028 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Development of a predictive model for pediatric intranasal drug delivery with nasal sprays: Leveraging intersubject variability in anatomical dimensions, administration-related parameters, and airway patency.
Comput Biol Med
January 2025
Department of Mechanical and Nuclear Engineering, Virginia Commonwealth University, Richmond, VA, USA. Electronic address:
In this study, we examined the correlation between anatomical dimensions, spray administration parameters, pressure drop across 40 pediatric nasal cavities, and in vitro posterior drug delivery (PDD) using Nasacort ALLERGY 24HR and FLONASE SENSIMIST nasal suspensions sprays, with different nozzle and actuation designs. The importance of each parameter and their interaction in the outcome (PDD) was evaluated. To do so, initially we measured anatomical and administration-related parameters, and the pressure drop of each cavity.
View Article and Find Full Text PDFConfined CHA-HCR system for sensitive and specific detection of ANXA2 mRNA in adenomyosis tissues.
J Pharm Biomed Anal
January 2025
Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian 350005, China; FujianKey Laboratory of Women and Children's Critical Diseases Research, Fuzhou, Fujian 350005, China. Electronic address:
Isothermal, enzyme-free amplification techniques, such as the hybridization chain reaction (HCR) and catalytic hairpin assembly (CHA), have gained significant attention for mRNA analysis. Despite their potential, these methods still face challenges, including false positives and low amplification efficiency. To overcome these limitations, we have developed a confined catalytic hairpin assembly and hybridization chain reaction (CHA-HCR) system that utilizes cholesterol-modified hairpin probes to enhance the sensitivity and specificity of mRNA detection.
View Article and Find Full Text PDFThe impact of climate change on vulnerable populations in pediatrics: opportunities for AI, digital health, and beyond-a scoping review and selected case studies.
Pediatr Res
January 2025
Division of General Pediatrics, Department of Pediatrics, The Children's Hospital of Philadelphia, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.
Climate change critically impacts global pediatric health, presenting unique and escalating challenges due to children's inherent vulnerabilities and ongoing physiological development. This scoping review intricately intertwines the spheres of climate change, pediatric health, and Artificial Intelligence (AI), with a goal to elucidate the potential of AI and digital health in mitigating the adverse child health outcomes induced by environmental alterations, especially in Low- and Middle-Income Countries (LMICs). A notable gap is uncovered: literature directly correlating AI interventions with climate change-impacted pediatric health is scant, even though substantial research exists at the confluence of AI and health, and health and climate change respectively.
View Article and Find Full Text PDFOrgan-specific microenvironments drive divergent T cell evolution in acute graft-versus-host disease.
Sci Transl Med
January 2025
Division of Pediatric Hematology/Oncology, Boston Children's Hospital, Boston, MA 02115, USA.
Tissue-specific T cell immune responses play a critical role in maintaining organ health but can also drive immune pathology during both autoimmunity and alloimmunity. The mechanisms controlling intratissue T cell programming remain unclear. Here, we leveraged a nonhuman primate model of acute graft-versus-host disease (aGVHD) after allogeneic hematopoietic stem cell transplantation to probe the biological underpinnings of tissue-specific alloimmune disease using a comprehensive systems immunology approach including multiparameter flow cytometry, population-based transcriptional profiling, and multiplexed single-cell RNA sequencing and TCR sequencing.
View Article and Find Full Text PDFNoncoding variants and sulcal patterns in congenital heart disease: Machine learning to predict functional impact.
iScience
February 2025
Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA.
Neurodevelopmental impairments associated with congenital heart disease (CHD) may arise from perturbations in brain developmental pathways, including the formation of sulcal patterns. While genetic factors contribute to sulcal features, the association of noncoding variants (ncDNVs) with sulcal patterns in people with CHD remains poorly understood. Leveraging deep learning models, we examined the predicted impact of ncDNVs on gene regulatory signals.
View Article and Find Full Text PDFWant 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!