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Published in 2017 at "Journal of Neuro-Oncology"
DOI: 10.1007/s11060-017-2514-9
Abstract: We aimed to perform external validation of the recently developed survival prediction model for diffuse intrinsic pontine glioma (DIPG), and discuss its utility. The DIPG survival prediction model was developed in a cohort of patients…
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Keywords:
survival prediction;
dipg registry;
external validation;
validation ... See more keywords
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Published in 2020 at "Molecular Neurobiology"
DOI: 10.1007/s12035-020-02088-w
Abstract: Glioblastoma multiforme (GBM) is the most aggressive and common primary central nervous system tumour. Despite extensive therapy, GBM patients usually have poor prognosis with a median survival of 12–15 months. Novel molecular biomarkers that can…
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Keywords:
analysis;
survival prediction;
gene signature;
gene ... See more keywords
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Published in 2019 at "Health and Technology"
DOI: 10.1007/s12553-019-00307-6
Abstract: Cardiac disease is a major cause of morbidity and mortality worldwide. Currently, most researchers focus on identifying risk factors and treatment of cardiac disease. There has been little research on real-time prediction of patient survival…
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Keywords:
real time;
survival prediction;
cardiac patient;
prediction ... See more keywords
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Published in 2022 at "Clinical and Translational Imaging"
DOI: 10.1007/s40336-022-00487-8
Abstract: Glioblastoma multiforme (GBM) is a grade IV brain tumour with very low life expectancy. Physicians and oncologists urgently require automated techniques in clinics for brain tumour segmentation (BTS) and survival prediction (SP) of GBM patients…
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Keywords:
mri scans;
survival prediction;
glioblastoma multiforme;
pre operative ... See more keywords
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Published in 2019 at "Annals of vascular surgery"
DOI: 10.1016/j.avsg.2018.06.007
Abstract: BACKGROUND Survival prediction models are clinical tools that help professionals make the best treatment decisions. In the treatment of critical limb ischemia, several scoring methods have emerged; however, many are limited because they are not…
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Keywords:
limb;
survival prediction;
limb ischemia;
critical limb ... See more keywords
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Published in 2019 at "EBioMedicine"
DOI: 10.1016/j.ebiom.2019.05.023
Abstract: Background Evaluating clinical outcome prior to concurrent chemoradiotherapy remains challenging for oesophageal squamous cell carcinoma (OSCC) as traditional prognostic markers are assessed at the completion of treatment. Herein, we investigated the potential of using sub-region…
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Keywords:
concurrent chemoradiotherapy;
sub region;
radiomics features;
survival prediction ... See more keywords
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Published in 2020 at "Translational Oncology"
DOI: 10.1016/j.tranon.2020.100957
Abstract: Highlights • As is known to us, this is the first immune-gene-related signature of HCC which was validated in various ways.• This signature was linked to the mutation status, and we found the difference of…
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Keywords:
immune checkpoint;
prediction response;
survival prediction;
response immune ... See more keywords
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Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-92799-4
Abstract: The age of precision medicine demands powerful computational techniques to handle high-dimensional patient data. We present MultiSurv, a multimodal deep learning method for long-term pan-cancer survival prediction. MultiSurv uses dedicated submodels to establish feature representations…
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Keywords:
deep learning;
multimodal deep;
survival prediction;
cancer ... See more keywords
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Published in 2023 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/acd6d2
Abstract: Aiming at accurate survival prediction of Glioblastoma (GBM) patients following radiation therapy, we developed a subregion-based survival prediction framework via a novel feature construction method on multi-sequence MRIs. The proposed method consists of two main…
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Keywords:
subregion;
prediction framework;
prediction;
survival prediction ... See more keywords
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Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac113
Abstract: Abstract Motivation Cancer survival prediction can greatly assist clinicians in planning patient treatments and improving their life quality. Recent evidence suggests the fusion of multimodal data, such as genomic data and pathological images, is crucial…
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Keywords:
factorized bilinear;
fusion;
multimodal fusion;
multimodal ... See more keywords
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Published in 2023 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btad025
Abstract: Abstract Motivation Accurately predicting cancer survival is crucial for helping clinicians to plan appropriate treatments, which largely improves the life quality of cancer patients and spares the related medical costs. Recent advances in survival prediction…
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Keywords:
cancer survival;
modality;
survival prediction;