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The EPMA Journal|June 3, 2014
Towards personal health care with model-guided medicine: long-term PPPM-related strategies and realisation opportunities within 'Horizon 2020'Heinz U Lemke, Olga Golubnitschaja
The EPMA Journal|March 21, 2015
Patients with diabetic retinopathy have high retinal venous pressureAnna K Cybulska-Heinrich, Michael Baertschi, Cay Christian Loesche, et al.
The EPMA Journal|January 28, 2014
Deregulation of the phosphatase, PP2A is a common event in breast cancer, predicting sensitivity to FTY720Shawn Baldacchino, Christian Saliba, Vanessa Petroni, et al.
The EPMA Journal|November 7, 2012
Traditional, complementary and alternative medical systems and their contribution to personalisation, prediction and prevention in medicine-person-centred medicinePaolo Roberti di Sarsina, Mauro Alivia, Paola Guadagni
The EPMA Journal|March 3, 2023
Correction to: A nomogram model for the risk prediction of type 2 diabetes in healthy eastern China residents: a 14‑year retrospective cohort study from 15,166 participantsTiancheng Xu, Decai Yu, Weihong Zhou, et al.
The EPMA Journal|March 3, 2023
New insight of metabolomics in ocular diseases in the context of 3P medicineQuyan Zhang, Nan Wang, Yuhua Rui, et al.
The EPMA Journal|March 3, 2023
Microsatellite instability assessment is instrumental for Predictive, Preventive and Personalised Medicine: status quo and outlookJakub Styk, Zuzana Pös, Ondrej Pös, et al.
The EPMA Journal|August 22, 2022
A nomogram model for the risk prediction of type 2 diabetes in healthy eastern China residents: a 14-year retrospective cohort study from 15,166 participantsTiancheng Xu, Decai Yu, Weihong Zhou, et al.
The EPMA Journal|February 27, 2023
Short communication: unique metabolic signature of proliferative retinopathy in the tear fluid of diabetic patients with comorbidities - preliminary data for PPPM validationMartina Kropp, Eline De Clerck, Trong-Tin Kevin Steve Vo, et al.
The EPMA Journal|February 27, 2023
Multi-omics and immune cells' profiling of COVID-19 patients for ICU admission prediction: in silico analysis and an integrated machine learning-based approach in the framework of Predictive, Preventive, and Personalized MedicineKun Zhu, Zhonghua Chen, Yi Xiao, et al.
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