Articles with "response prediction" as a keyword



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Metastasis risk stratification and response prediction through dynamic viable circulating tumor cell counts for rectal cancer in a neoadjuvant setting.

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Published in 2023 at "Cancer medicine"

DOI: 10.1002/cam4.5860

Abstract: Distant metastasis (DM) and neoadjuvant treatment response prediction remain critical challenges in the management of locally advanced rectal cancer (LARC). The aim of this study was to investigate the clinical relevance of viable circulating tumor… read more here.

Keywords: circulating tumor; viable circulating; rectal cancer; response ... See more keywords
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Ensemble Learning for Early‐Response Prediction of Antidepressant Treatment in Major Depressive Disorder

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Published in 2019 at "Journal of Magnetic Resonance Imaging"

DOI: 10.1002/jmri.27029

Abstract: In order to reduce unsuccessful treatment trials for depression, neuroimaging and genetic information can be considered as biomarkers. Together with machine‐learning methods, prediction models have proved to be valuable for baseline prediction. read more here.

Keywords: response prediction; early response; treatment; learning early ... See more keywords
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Drug response prediction in high-risk multiple myeloma.

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Published in 2018 at "Gene"

DOI: 10.1016/j.gene.2017.10.071

Abstract: A Drug Response Prediction (DRP) score was developed based on gene expression profiling (GEP) from cell lines and tumor samples. Twenty percent of high-risk patients by GEP70 treated in Total Therapy 2 and 3A have… read more here.

Keywords: response; high risk; drug response; drp score ... See more keywords
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Cancer cell lines as patient avatars for drug response prediction

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Published in 2018 at "Nature Genetics"

DOI: 10.1038/s41588-018-0245-2

Abstract: Patient-derived cancer cell lines could address two major challenges in oncology: real-time drug response prediction and the creation of massive knowledge banks. A new study showcases the power of this approach for precision oncology. read more here.

Keywords: cell lines; drug response; cancer cell; oncology ... See more keywords
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An overview of machine learning methods for monotherapy drug response prediction.

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Published in 2021 at "Briefings in bioinformatics"

DOI: 10.1093/bib/bbab408

Abstract: For an increasing number of preclinical samples, both detailed molecular profiles and their responses to various drugs are becoming available. Efforts to understand, and predict, drug responses in a data-driven manner have led to a… read more here.

Keywords: drug; machine learning; response prediction; drug response ... See more keywords
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GADRP: graph convolutional networks and autoencoders for cancer drug response prediction

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Published in 2022 at "Briefings in bioinformatics"

DOI: 10.1093/bib/bbac501

Abstract: Drug response prediction in cancer cell lines is of great significance in personalized medicine. In this study, we propose GADRP, a cancer drug response prediction model based on graph convolutional networks (GCNs) and autoencoders (AEs).… read more here.

Keywords: cancer drug; prediction; drug response; drug ... See more keywords
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Interactive Visual Simulation Modeling for Structural Response Prediction and Damage Detection

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Published in 2022 at "IEEE Transactions on Industrial Electronics"

DOI: 10.1109/tie.2021.3050365

Abstract: Cameras capture the dynamic behaviors of vibrating structures or systems in videos, and the object in videos can respond to new forces to explore more dynamics by visual simulation methods. However, existing visual simulation models… read more here.

Keywords: response prediction; damage detection; visual simulation; simulation ... See more keywords
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Development of a method for maximum structural response prediction of a store externally carried by a jet fighter

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Published in 2021 at "Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering"

DOI: 10.1177/09544100211022244

Abstract: Experimental structural response of equipment mounted in store carried externally by jet type aircraft is investigated, predicted and compared with responses suggested by military standards in this study. A representative store which is similar to… read more here.

Keywords: response prediction; flight conditions; response; structural response ... See more keywords

Drug response prediction model using a hierarchical structural component modeling method

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Published in 2018 at "BMC Bioinformatics"

DOI: 10.1186/s12859-018-2270-7

Abstract: BackgroundComponent-based structural equation modeling methods are now widely used in science, business, education, and other fields. This method uses unobservable variables, i.e., “latent” variables, and structural equation model relationships between observable variables. Here, we applied… read more here.

Keywords: drug; model; response prediction; drug response ... See more keywords
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[18F]FDG PET/MRI enables early chemotherapy response prediction in pancreatic ductal adenocarcinoma

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Published in 2021 at "EJNMMI Research"

DOI: 10.1186/s13550-021-00808-4

Abstract: Purpose In this prospective exploratory study, we evaluated the feasibility of [ 18 F]fluorodeoxyglucose ([ 18 F]FDG) PET/MRI-based chemotherapy response prediction in pancreatic ductal adenocarcinoma at two weeks upon therapy onset. Material and methods In… read more here.

Keywords: response prediction; pet mri; chemotherapy response; fdg pet ... See more keywords
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Gasdermin D as a potential prognosis and treatment response prediction biomarker for invasive breast cancer.

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Published in 2021 at "Journal of Clinical Oncology"

DOI: 10.1200/jco.2021.39.15_suppl.e12548

Abstract: e12548Background: Pyroptosis is a type of inflammatory cell death mediated by gasdermins. Pyroptosis is critical for macrophage against pathogen infection. Recently growing evidences show that pyro... read more here.

Keywords: response prediction; prediction biomarker; potential prognosis; gasdermin potential ... See more keywords