Results 291 to 300 of about 24,980,142 (412)

Development and Validation of an Indicator System for Evaluating Clinical Nursing Process Quality Using Mobile Nursing Information Systems. [PDF]

J Multidiscip Healthc
Ge H, Wang Q, Liu S, Tian Y, Ma J.
europepmc   +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

Molecular 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

Retracted: A System of Remote Patients’ Monitoring and Alerting Using the Machine Learning Technique

Journal of Food Quality
Journal of Food Quality
doaj   +1 more source

Assessing the content and quality of GI bleeding information on Bilibili, TikTok, and YouTube: a cross-sectional study. [PDF]

Sci Rep
Wang J, Liu B, Yang G, Luo Y, Lv N, Shu X, Zhu Z, Liu L.   +7 more
europepmc   +1 more source

The Effects of Housing Quality on Morbidity—Preliminary Findings of the Johns Hopkins Longitudinal Study

, 1958
Daniel M. Wilner, Rosabelle Price Walkley, Marvin Glasser, Matthew Tayback   +3 more
openalex   +2 more sources

The atypical KRASQ22K mutation directs TGF‐β response towards partial epithelial‐to‐mesenchymal transition in patient‐derived colorectal cancer tumoroids

Molecular Oncology, EarlyView.
TGF‐β has a complex role in cancer, exhibiting both tumor‐suppressive and tumor‐promoting properties. Using a series of differentiated tumoroids, derived from different stages and mutational background of colorectal cancer patients, we replicate this duality of TGF‐β in vitro. Notably, the atypical but highly aggressive KRASQ22K mutation rendered early‐
Theresia Mair, Philip König, Milena Mijović, Jessica Kalla, Anil Baskan, Loan Tran, Kristina Draganić, Pedro Morata Saldaña, Carlos Uziel Pérez Malla, Janette Pfneissl, Andreas Tiefenbacher, Julijan Kabiljo, Velina S. Atanasova, Lisa Wozelka‐Oltjan, Leonhard Müllauer, Michael Bergmann, Raheleh Sheibani‐Tezerji, Gerda Egger   +17 more
wiley   +1 more source

Retracted: Performance of Machine Learning and Image Processing in Plant Leaf Disease Detection

Journal of Food Quality
Journal of Food Quality
doaj   +1 more source

Enhancing ¹⁸F-FDG PET image quality and lesion diagnostic performance across different body mass index using the deep progressive learning reconstruction algorithm. [PDF]

Cancer Imaging
Chen Z, Yang H, Qi M, Chen W, Liu F, Song S, Zhang J.   +6 more
europepmc   +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

Molecular 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, Mario Ortega Duran, Solon Karapanagiotis, Alistair Martin, Meiling Gao, Riccardo Masina, Ramona Woitek, James Tanner, Fleur Tippin, Justine Kane, Jonathan Lay, Anja Brouwer, Stephen‐John Sammut, Suet‐Feung Chin, Davina Gale, Dana W. Y. Tsui, Sarah‐Jane Dawson, Nitzan Rosenfeld, Maurizio Callari, Oscar M. Rueda, Carlos Caldas   +20 more
wiley   +1 more source

Retracted: Forecasting the Applied Deep Learning Tools in Enhancing Food Quality for Heart Related Diseases Effectively: A Study Using Structural Equation Model Analysis

Journal of Food Quality
Journal of Food Quality
doaj   +1 more source