Volume 11, Issue 3

September 2020

3PM Lessons and Recommendations in COVID-19 Pandemic, Biobanks, Prenatal Screening, Dementia and Cancer – Application of Multiomics, Artificial Intelligence and Machine Learning

Issue Editors:

Babak Baban,
Rostyslav Bubnov,
Vincenzo Costigliola,
Marko Kapalla,
Kneginja Richter,
Kristina Yeghiazaryan,
Byong Chul Yoo,
Xianquan Zhan

11 articles in this issue

COVID-19 what have we learned? The rise of social machines and connected devices in pandemic management following the concepts of predictive, preventive and personalized medicine
Petar Radanliev
David De Roure
Stacy Cannady
Review Open access 30 July 2020 Pages: 311 - 332
Biobanks in the era of big data: objectives, challenges, perspectives, and innovations for predictive, preventive, and personalised medicine
Judita Kinkorová
Ondřej Topolčan
Review 18 June 2020 Pages: 333 - 341
A risk model of prenatal screening markers in first trimester for predicting hypertensive disorders of pregnancy
Yiming Chen
Zhen Xie
Shaolei Lv
Research 19 June 2020 Pages: 343 - 353
Insomnia and obstructive sleep apnea as potential triggers of dementia: is personalized prediction and prevention of the pathological cascade applicable?
Takuro Kitamura
Soichiro Miyazaki
Hideaki Suzuki
Minireview 30 July 2020 Pages: 355 - 365
Differences in cohort study data affect external validation of artificial intelligence models for predictive diagnostics of dementia - lessons for translation into clinical practice
Colin Birkenbihl
Mohammad Asif Emon
Alzheimer’s Disease Neuroimaging Initiative
Research Open access 22 June 2020 Pages: 367 - 376
Flavonoids against the Warburg phenotype—concepts of predictive, preventive and personalised medicine to cut the Gordian knot of cancer cell metabolism
Marek Samec
Alena Liskova
Peter Kubatka
Review Open access 30 July 2020 Pages: 377 - 398
Prostate cancer management: long-term beliefs, epidemic developments in the early twenty-first century and 3PM dimensional solutions
Radek Kucera
Ladislav Pecen
Olga Golubnitschaja
Review Open access 26 June 2020 Pages: 399 - 418
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
Dan Liu
Jiajia Li
Xianquan Zhan
Research 13 August 2020 Pages: 419 - 467
Comparative cerebrospinal fluid metabolites profiling in glioma patients to predict malignant transformation and leptomeningeal metastasis with a potential for preventive personalized medicine
Ji Hye Im
Byong Chul Yoo
Ho-Shin Gwak
Research 18 June 2020 Pages: 469 - 484
Identification of pathology-specific regulators of m⁶A RNA modification to optimize lung cancer management in the context of predictive, preventive, and personalized medicine
Na Li
Xianquan Zhan
Research 29 July 2020 Pages: 485 - 504
Optimal multiparametric set-up modelled for best survival outcomes in palliative treatment of liver malignancies: unsupervised machine learning and 3 PM recommendations
Elisha Goldstein
Kristina Yeghiazaryan
Olga Golubnitschaja
Research Open access 10 August 2020 Pages: 505 - 515

Volume 11, Issue 3

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