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Volume 11; Issue 3
Main
The EPMA Journal
Volume 11; Issue 3
The EPMA Journal
Volume 11; Issue 3
1
Differences in cohort study data affect external validation of artificial intelligence models for predictive diagnostics of dementia - lessons for translation into clinical practice
Birkenbihl, Colin
,
Emon, Mohammad Asif
,
Vrooman, Henri
,
Westwood, Sarah
,
Lovestone, Simon
,
Hofmann-Apitius, Martin
,
Fröhlich, Holger
Journal:
The EPMA Journal
Year:
2020
File:
PDF, 954 KB
Your tags:
2020
2
Insomnia and obstructive sleep apnea as potential triggers of dementia: is personalized prediction and prevention of the pathological cascade applicable?
Kitamura, Takuro
,
Miyazaki, Soichiro
,
Sulaiman, Harun Bin
,
Akaike, Ryota
,
Ito, Yuki
,
Suzuki, Hideaki
Journal:
The EPMA Journal
Year:
2020
File:
PDF, 436 KB
Your tags:
2020
3
Identification of pathology-specific regulators of m6A RNA modification to optimize lung cancer management in the context of predictive, preventive, and personalized medicine
Li, Na
,
Zhan, Xianquan
Journal:
The EPMA Journal
Year:
2020
File:
PDF, 8.36 MB
Your tags:
2020
4
Optimal multiparametric set-up modelled for best survival outcomes in palliative treatment of liver malignancies: unsupervised machine learning and 3Â PM recommendations
Goldstein, Elisha
,
Yeghiazaryan, Kristina
,
Ahmad, Ashar
,
Giordano, Frank A.
,
Fröhlich, Holger
,
Golubnitschaja, Olga
Journal:
The EPMA Journal
Year:
2020
File:
PDF, 1.12 MB
Your tags:
2020
5
Integration of quantitative phosphoproteomics and transcriptomics revealed phosphorylation-mediated molecular events as useful tools for a potential patient stratification and personalized treatment of human nonfunctional pituitary adenomas
Liu, Dan
,
Li, Jiajia
,
Li, Na
,
Lu, Miaolong
,
Wen, Siqi
,
Zhan, Xianquan
Journal:
The EPMA Journal
Year:
2020
File:
PDF, 1.45 MB
Your tags:
2020
1
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