Volume 11; Issue 3

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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, FrÃ¶hlich, Holger

Journal:

The EPMA Journal

Year:

2020

File:

PDF, 954 KB

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

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

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., FrÃ¶hlich, Holger, Golubnitschaja, Olga

Journal:

The EPMA Journal

Year:

2020

File:

PDF, 1.12 MB

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

2020