Results 81 to 90 of about 3,273,344 (325)

Health Literacy: An overview of an emerging field [PDF]

open access: yes, 2011
According to the National Adult Literacy Survey, nearly 90 million American adults test below a high school level for literacy skills (Kirsch, Jungeblut, Jenkins & Kolstad, 1993).Because most health materials are written at least at the high school level,
Flaherty, Mary Grace
core   +1 more source

Transcriptome‐wide analysis of circRNA and RBP profiles and their molecular relevance for GBM

open access: yesMolecular Oncology, EarlyView.
CircRNAs are differentially expressed in glioblastoma primary tumors and might serve as therapeutic targets and diagnostic markers. The investigation of circRNA and RNA‐binding proteins (RBPs) interactions shows that distinct RBPs play a role in circRNA biogenesis and function.
Julia Latowska‐Łysiak   +14 more
wiley   +1 more source

Family participation in pregnancy: integrative review

open access: yesRevista de Enfermagem da Universidade Federal de Santa Maria, 2017
Aim: To identify family participation in pregnancy, in scientific production. Method: integrative literature review, in which a search, in April 2017, with the descriptors family relations and pregnancy was performed, in the databases Literature Latin ...
Laís Antunes Wilhelm   +5 more
doaj   +1 more source

Diabetes and climate change

open access: yesJournal of Community Hospital Internal Medicine Perspectives, 2020
Background Diabetes mellitus, a looming crisis, is approaching worldwide epidemic proportions. In 2018, 34.2 million Americans, or 10.5% of the population had diabetes.
Mihail Zilbermint
doaj   +1 more source

Deep Learning for Automated Classification of Tuberculosis-Related Chest X-Ray: Dataset Specificity Limits Diagnostic Performance Generalizability [PDF]

open access: yesarXiv, 2018
Machine learning has been an emerging tool for various aspects of infectious diseases including tuberculosis surveillance and detection. However, WHO provided no recommendations on using computer-aided tuberculosis detection software because of the small number of studies, methodological limitations, and limited generalizability of the findings.
arxiv  

Question-Driven Summarization of Answers to Consumer Health Questions [PDF]

open access: yesarXiv, 2020
Automatic summarization of natural language is a widely studied area in computer science, one that is broadly applicable to anyone who routinely needs to understand large quantities of information. For example, in the medical domain, recent developments in deep learning approaches to automatic summarization have the potential to make health information
arxiv  

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

open access: yesMolecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

Best Practices for a Future Open Code Policy: Experiences and Vision of the Astrophysics Source Code Library [PDF]

open access: yesarXiv, 2018
We are members of the Astrophysics Source Code Library's Advisory Committee and its editor-in-chief. The Astrophysics Source Code Library (ASCL, ascl.net) is a successful initiative that advocates for open research software and provides an infrastructure for registering, discovering, sharing, and citing this software. Started in 1999, the ASCL has been
arxiv  

The Other \u27VD\u27: The Educational Campaign to Reduce Venereal Disease Rate During World War II [PDF]

open access: yes, 2016
Venereal disease was a major contributor to lost man days in World War I so the government attempted to implement an educational campaign beginning in 1918.
Gaiser, Madeleine L.
core   +1 more source

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

open access: yesMolecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes   +20 more
wiley   +1 more source

Home - About - Disclaimer - Privacy