Correction to 'Uncovering the underlying mechanism of cancer tumorigenesis and development under immune microenvironment from global quantification of the landscape'.

J R Soc Interface

State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, China

Published: November 2018

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6283998PMC
http://dx.doi.org/10.1098/rsif.2018.0816DOI Listing

Publication Analysis

Top Keywords

correction 'uncovering
4
'uncovering underlying
4
underlying mechanism
4
mechanism cancer
4
cancer tumorigenesis
4
tumorigenesis development
4
development immune
4
immune microenvironment
4
microenvironment global
4
global quantification
4

Similar Publications

A Bibliometric Analysis on the Risk Factors of Cancer.

Genes Chromosomes Cancer

January 2025

School of Geography and the Environment, University of Oxford, UK.

Given the high lethality of cancer, identifying its risk factors is crucial in both epidemiology and cancer research. This study employs a novel bibliometric analysis method, which uses the tidytext package and tidy tools in R. This approach surpasses traditional tools like VOSviewer, offering more comprehensive and complex keyword data and clearer results compared to Bibliometrix.

View Article and Find Full Text PDF

Greater neighborhood disadvantage is associated with poorer global cognition. However, less is known about the variation in the magnitude of neighborhood effects across individual cognitive domains and whether the strength of these associations differs by individual-level factors. The current study investigated these questions in a community sample of older adults ( = 166, mean age = 72.

View Article and Find Full Text PDF

Isolated right superior vena cava drainage into the left atrium.

Indian J Thorac Cardiovasc Surg

February 2025

Dept of CTVS, NEIGRIHMS, Shillong, India.

Isolated right superior vena cava (RSVC) drainage into the left atrium (LA) is a rare congenital anomaly, presenting diagnostic and management challenges. This study presents two cases of isolated RSVC drainage into the LA alongside a comprehensive literature review to improve understanding and delineate optimal surgical approaches. The study describes two cases of isolated RSVC drainage into the LA and their surgical management.

View Article and Find Full Text PDF

We aimed to develop and evaluate Explainable Artificial Intelligence (XAI) for fetal ultrasound using actionable concepts as feedback to end-users, using a prospective cross-center, multi-level approach. We developed, implemented, and tested a deep-learning model for fetal growth scans using both retrospective and prospective data. We used a modified Progressive Concept Bottleneck Model with pre-established clinical concepts as explanations (feedback on image optimization and presence of anatomical landmarks) as well as segmentations (outlining anatomical landmarks).

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!