Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9831600PMC
http://dx.doi.org/10.5365/wpsar.2022.13.3.959DOI Listing

Publication Analysis

Top Keywords

epidemic intelligence
4
intelligence open
4
open sources
4
sources global
4
global event-based
4
event-based surveillance
4
surveillance infectious
4
infectious diseases
4
diseases tokyo
4
tokyo 2020
4

Similar Publications

Identifying cell types and brain regions critical for psychiatric disorders and brain traits is essential for targeted neurobiological research. By integrating genomic insights from genome-wide association studies with a comprehensive single-cell transcriptomic atlas of the adult human brain, we prioritized specific neuronal clusters significantly enriched for the SNP-heritabilities for schizophrenia, bipolar disorder, and major depressive disorder along with intelligence, education, and neuroticism. Extrapolation of cell-type results to brain regions reveals the whole-brain impact of schizophrenia genetic risk, with subregions in the hippocampus and amygdala exhibiting the most significant enrichment of SNP-heritability.

View Article and Find Full Text PDF

Purpose: Previous research has demonstrated improvements in CT-derived bronchial parameters in the first years after smoking cessation. This study investigates the association between longer smoking cessation duration and bronchial parameters in lung-healthy and lung-unhealthy ex-smokers from the general population.

Materials And Methods: We conducted a cross-sectional analysis using low-dose CT scans of ex-smokers from the general population with at least 10 pack-years from the ImaLife study, a sub study within the Lifelines cohort.

View Article and Find Full Text PDF

Feasibility of AI as first reader in the 4-IN-THE-LUNG-RUN lung cancer screening trial: impact on negative-misclassifications and clinical referral rate.

Eur J Cancer

December 2024

Institute for Diagnostic Accuracy, Groningen, the Netherlands; Faculty of Medical Sciences, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands. Electronic address:

Background: Lung cancer screening (LCS) with low-dose CT (LDCT) reduces lung-cancer-related mortality in high-risk individuals. AI can potentially reduce radiologist workload as first-read-filter by ruling-out negative cases. The feasibility of AI as first reader was evaluated in the European 4-IN-THE-LUNG-RUN (4ITLR) trial, comparing its negative-misclassifications (NMs) to those of radiologists and the impact on referral rates.

View Article and Find Full Text PDF

Background: The SEER Registry contains U.S. cancer statistics.

View Article and Find Full Text PDF

Importance: Digital health in biomedical research and its expanding list of potential clinical applications are rapidly evolving. A combination of new digital health technologies (DHTs), novel uses of existing DHTs through artificial intelligence- and machine learning-based algorithms, and improved integration and analysis of data from multiple sources has enabled broader use and delivery of these tools for research and health care purposes. The aim of this study was to assess the growth and overall trajectory of DHT funding through a National Institutes of Health (NIH)-wide grant portfolio analysis.

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!