Results 171 to 180 of about 3,959,577 (361)

Artificial Intelligence-Powered Imaging Biomarker Based on Mammography for Breast Cancer Risk Prediction

open access: yesDiagnostics
The purposes of this study were to develop an artificial intelligence (AI) model for future breast cancer risk prediction based on mammographic images, investigate the feasibility of the AI model, and compare the AI model, clinical statistical risk ...
Eun Kyung Park   +8 more
doaj   +1 more source

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

The Millennium Cohort Study.

open access: yesPopulation trends, 2002
The Millennium Cohort Study is the latest in the line of British birth cohort studies. MCS resembles its predecessors which follow people born in 1946, 1958 and 1970 in the intention to become multi-purpose longitudinal data resource charting many aspects of individual's lives over time.
Smith, K, Joshi, H
openaire   +2 more sources

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

Combining longitudinal cohort studies to examine cardiovascular risk factor trajectories across the adult lifespan [PDF]

open access: yesarXiv
We introduce a statistical framework for combining data from multiple large longitudinal cardiovascular cohorts to enable the study of long-term cardiovascular health starting in early adulthood. Using data from seven cohorts belonging to the Lifetime Risk Pooling Project (LRPP), we present a Bayesian hierarchical multivariate approach that jointly ...
arxiv  

Classroom Practices of Primary and Secondary Teachers Participating in English in Action: Third Cohort (2014) [PDF]

open access: yes, 2015
This study reports on the third cohort of teachers and students to participate in EIA (2013–14). While the students and teachers in Cohort 3 underwent an essentially similar programme to those in Cohorts 1 and 2, they are much greater in number (there ...
Burton, Sonia   +5 more
core   +1 more source

Multidimensional OMICs reveal ARID1A orchestrated control of DNA damage, splicing, and cell cycle in normal‐like and malignant urothelial cells

open access: yesMolecular Oncology, EarlyView.
Loss of the frequently mutated chromatin remodeler ARID1A, a subunit of the SWI/SNF cBAF complex, results in less open chromatin, alternative splicing, and the failure to stop cells from progressing through the cell cycle after DNA damage in bladder (cancer) cells. Created in BioRender. Epigenetic regulators, such as the SWI/SNF complex, with important
Rebecca M. Schlösser   +11 more
wiley   +1 more source

Similarity-Informed Transfer Learning for Multivariate Functional Censored Quantile Regression [PDF]

open access: yesarXiv
To address the challenge of utilizing patient data from other organ transplant centers (source cohorts) to improve survival time estimation and inference for a target center (target cohort) with limited samples and strict data-sharing privacy constraints, we propose the Similarity-Informed Transfer Learning (SITL) method.
arxiv  

Germline variants in CDKN2A wild‐type melanoma prone families

open access: yesMolecular Oncology, EarlyView.
Among melanoma‐prone families, wild‐type for CDKN2A and CDK4, some have pathogenic variants in genes not usually linked to melanoma. Furthermore, rare XP‐related variants and variants in MC1R are enriched in such families. Germline pathogenic variants in CDKN2A are well established as an underlying cause of familial malignant melanoma. While pathogenic
Gjertrud T. Iversen   +5 more
wiley   +1 more source

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