Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375737 | PMC |
| http://dx.doi.org/10.1007/s00414-022-02864-4 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Strength and durability of indirect protection against SARS-CoV-2 infection through vaccine and infection-acquired immunity.
Nat Commun
January 2025
Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University, Stanford, USA.
Early investigation revealed a reduced risk of SARS-CoV-2 infection among social contacts of COVID-19 vaccinated individuals, referred to as indirect protection. However, indirect protection from SARS-CoV-2 infection-acquired immunity and its comparative strength and durability to vaccine-derived indirect protection in the current epidemiologic context of high levels of vaccination, prior infection, and novel variants are not well characterized. Here, we show that both vaccine-derived and infection-acquired immunity independently yield indirect protection to close social contacts with key differences in their strength and waning.
View Article and Find Full Text PDFInterdisciplinary Approach to Retreatment of a Full-Mouth Rehabilitation: Horizontal Preparations, Vertical Dimension of Occlusion Increase, and Mucogingival Surgery in a Tetracycline-Stained Dentition.
J Esthet Restor Dent
January 2025
Analysis of Techniques, Material and Instruments Applied to Digital Dentistry and CAD/CAM Procedures Research Group, Complutense University of Madrid, Madrid, Spain.
Objective: This case report presents the interdisciplinary retreatment of a patient with a worn full-mouth rehabilitation using defect-oriented restorations, horizontal preparations, and vertical dimension of occlusion (VDO) increase.
Clinical Considerations: A 58-year-old woman with a previous full-mouth rehabilitation presented with worn dentition, loss of VDO, and reduced posterior support. Examination revealed signs of parafunctional habits, tetracycline-stained teeth, and compromised aesthetics with exposed discolored teeth and open embrasure spaces.
Enhancing quantitative coronary angiography (QCA) with advanced artificial intelligence: comparison with manual QCA and visual estimation.
Int J Cardiovasc Imaging
January 2025
Division of Cardiology, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Artificial intelligence-based quantitative coronary angiography (AI-QCA) was introduced to address manual QCA's limitations in reproducibility and correction process. The present study aimed to assess the performance of an updated AI-QCA solution (MPXA-2000) in lesion detection and quantification using manual QCA as the reference standard, and to demonstrate its superiority over visual estimation. This multi-center retrospective study analyzed 1,076 coronary angiography images obtained from 420 patients, comparing AI-QCA and visual estimation against manual QCA as the reference standard.
View Article and Find Full Text PDFVery Early Health Technology Assessment for Potential Predictive Biomarkers in the Treatment of Advanced Non-Small Cell Lung Cancer.
Pharmacoecon Open
January 2025
Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Objectives: Immune checkpoint inhibitor (ICI)-containing treatment is currently prescribed as first-line treatment for all patients with advanced non-small cell lung cancer (NSCLC) without targetable driver mutations. However, only 30-45% of patients show no progression within 12 months after treatment start. Various biomarkers are being studied to save costly and potentially harmful treatment in non-responders.
View Article and Find Full Text PDFRe-locative guided search optimized self-sparse attention enabled deep learning decoder for quantum error correction.
Sci Rep
January 2025
Department of Mathematics, School of Advanced Sciences, VIT-AP University, Besides AP Secretariate, Amaravati, Andhra Pradesh, 522237, India.
Heavy hexagonal coding is a type of quantum error-correcting coding in which the edges and vertices of a low-degree graph are assigned auxiliary and physical qubits. While many topological code decoders have been presented, it is still difficult to construct the optimal decoder due to leakage errors and qubit collision. Therefore, this research proposes a Re-locative Guided Search optimized self-sparse attention-enabled convolutional Neural Network with Long Short-Term Memory (RlGS2-DCNTM) for performing effective error correction in quantum codes.
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!