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Targeted editing of CCL5 with CRISPR-Cas9 nanoparticles enhances breast cancer immunotherapy.
Apoptosis
January 2025
Department of Breast Cancer Surgery, Jiangxi Cancer Hospital & Institute, Jiangxi Clinical Research Center for Cancer, The Second Affiliated Hospital of Nanchang Medical College, Jiangxi Key Laboratory of Oncology, No. 519 Beijing East Road, Nanchang, Jiangxi, 330029, China.
Breast cancer remains one of the leading causes of cancer-related mortality among women worldwide. Immunotherapy, a promising therapeutic approach, often faces challenges due to the immunosuppressive tumor microenvironment. This study explores the innovative use of CRISPR-Cas9 technology in conjunction with FCPCV nanoparticles to target and edit the C-C Motif Chemokine Ligand 5 (CCL5) gene, aiming to improve the efficacy of breast cancer immunotherapy.
View Article and Find Full Text PDFIn cybersecurity, anomaly detection in tabular data is essential for ensuring information security. While traditional machine learning and deep learning methods have shown some success, they continue to face significant challenges in terms of generalization. To address these limitations, this paper presents an innovative method for tabular data anomaly detection based on large language models, called "Tabular Anomaly Detection via Guided Prompts" (TAD-GP).
View Article and Find Full Text PDFAssessment model of ozone pollution based on SHAP-IPSO-CNN and its application.
Sci Rep
January 2025
Shenyang Institute of Computing Technology, Chinese Academy of Sciences, Shenyang, 110168, Liaoning, China.
The problem of ground-level ozone (O) pollution has become a global environmental challenge with far-reaching impacts on public health and ecosystems. Effective control of ozone pollution still faces complex challenges from factors such as complex precursor interactions, variable meteorological conditions and atmospheric chemical processes. To address this problem, a convolutional neural network (CNN) model combining the improved particle swarm optimization (IPSO) algorithm and SHAP analysis, called SHAP-IPSO-CNN, is developed in this study, aiming to reveal the key factors affecting ground-level ozone pollution and their interaction mechanisms.
View Article and Find Full Text PDFDeterminants maintaining healthcare personnel's motivation during COVID-19 pandemic in Uganda.
Sci Rep
January 2025
Department of Global Health Research, Graduate School of Medicine, Juntendo University, Tokyo, Japan.
Background: Maintaining the physical and psychological well-being of healthcare workers (HCWs) is crucial for health system resilience. In sub-Saharan Africa, particularly Uganda, HCWs faced significant challenges during the coronavirus disease 2019 (COVID-19) pandemic, compounded by pre-existing resource constraints. This study investigated challenges faced by HCWs at a designated COVID-19 hospital ('the Hospital') and explored determinants of maintaining healthcare personnel's motivation during the COVID-19 pandemic in Uganda.
View Article and Find Full Text PDFBreaking ICD Codes: Identifying Ambiguous Respiratory Infection Codes via Regional Diagnosis Heterogeneity.
Ann Fam Med
January 2025
Department of Pediatric Gastroenterology and Metabolic Diseases, Poznan University of Medical Sciences, Poznań, Poland.
Purpose: We aimed to analyze regional variations in the assignment of (ICD-10) codes to acute respiratory infections, seeking to identify notable anomalies that suggest diverse diagnoses of the same condition.
Methods: We analyzed national weekly diagnosis data for acute respiratory infections (ICD-10 codes J00-J22) in Poland from 2010 to 2019, covering all 380 county-equivalent administrative regions and encompassing 292 million consultations. Data were aggregated into age brackets.
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