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The EPMA Journal|September 4, 2018
Individualized metabolic profiling stratifies pancreatic and biliary tract cancer: a useful tool for innovative screening programs and predictive strategies in healthcareJun Hwa Lee, Seung Eun Yu, Kyung-Hee Kim, et al.
The EPMA Journal|June 14, 2018
Specific properties of probiotic strains: relevance and benefits for the hostRostyslav V Bubnov, Lidiia P Babenko, Liudmyla M Lazarenko, et al.
The EPMA Journal|September 29, 2012
Personalized approach of medication by indirect anticoagulants tailored to the patient-Russian context: what are the prospects?Liliya Alexandrovna Belozerceva, Elena Nikolaevna Voronina, Natalia Viktorovna Kokh, et al.
The EPMA Journal|February 10, 2015
Unpredictable, unpreventable and impersonal medicine: global disaster response in the 21st centuryRussell J Andrews, Leonidas M Quintana
The EPMA Journal|November 28, 2025
Explainable multiomic screening for suboptimal health status in young adults: 3PM-guided innovation is envisagedQiao Lu, Peipei Liu, Gongchen Huang, et al.
The EPMA Journal|November 28, 2025
Repurposing holistic effects of metformin from diabetes management to skin wound healing: a 3PM-guided innovationShaoyu Zhou, Kun Zhang, Bingjie Cai, et al.
The EPMA Journal|November 28, 2025
The use of predictive, preventive, and personalized medical approaches to optimize hypertension managementOusman Bajinka, Lamarana Jallow, Yanjun Zhang, et al.
The EPMA Journal|September 15, 2025
Establishment of reference intervals for serum immunoglobulin G N-glycosylation features in healthy Chinese adults: a nationwide survey in the framework of predictive, preventive, and personalized medicineChangyu Liu, Yinghao Wang, Xingang Li, et al.
The EPMA Journal|May 29, 2025
Development and validation of a prediction model for the depressive symptom risk in commercial airline pilotsJie Zhang, Xuhua Chen, Lin Zhang, et al.
The EPMA Journal|May 29, 2025
Characterization of the gut microbiota in drug abuse: prediction, prevention, and personalized medicine to benefit affected populationsXin Wang, Ya-Jie Yu, Cai Liao, et al.
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