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The Emergency Medical Team Operating System — a vision for field hospital data management in following the concepts of predictive, preventive, and personalized medicine
In times where sudden-onset disasters (SODs) present challenges to global health systems, the integration of predictive, preventive, and personalized...
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Quality of life and cost-effectiveness of different breast cancer surgery procedures: a Markov decision tree-based approach in the framework of Predictive, Preventive, and Personalized Medicine
PurposeBreast cancer is a complex disease with heterogeneous outcomes that may benefit from the implementation of Predictive, Preventive, and...
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Genetically predicted the causal relationship between gut microbiota and infertility: bidirectional Mendelian randomization analysis in the framework of predictive, preventive, and personalized medicine
ObjectiveSeveral studies have reported the association between gut microbiota and infertility; however, the causal association between them remains...
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Clarifying sleep characteristics and analyzing risk factors of sleep disorders to promote a predictive, preventive, and personalized medicine in patients with burn scars
PurposeThis study assessed sleep quality in patients with burn scars and investigated risk factors of sleep disorders to guide clinical therapy. From...
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Identifying oxidative stress-related biomarkers in idiopathic pulmonary fibrosis in the context of predictive, preventive, and personalized medicine using integrative omics approaches and machine-learning strategies
BackgroundIdiopathic pulmonary fibrosis (IPF) is a rare interstitial lung disease with a poor prognosis that currently lacks effective treatment...
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The mediating effect of perceived stress on the relationship between big five personality traits and suboptimal health status in Chinese population: a nationwide survey in the framework of predictive, preventive, and personalized medicine
BackgroundThe effects of psychological factors on suboptimal health status (SHS) have been widely described; however, mechanisms behind the complex...
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Mutual effect of homocysteine and uric acid on arterial stiffness and cardiovascular risk in the context of predictive, preventive, and personalized medicine
BackgroundArterial stiffness is a major risk factor and effective predictor of cardiovascular diseases and a common pathway of pathological vascular...
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The correlation between primary open-angle glaucoma (POAG) and gut microbiota: a pilot study towards predictive, preventive, and personalized medicine
BackgroundGlaucoma is the leading cause of irreversible blindness worldwide. Emerged evidence has shown that glaucoma is considered an immune system...
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Oculomics for sarcopenia prediction: a machine learning approach toward predictive, preventive, and personalized medicine
AimsSarcopenia is characterized by a gradual loss of skeletal muscle mass and strength with increased adverse outcomes. Recently, large-scale...
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Diabetes, glycemic control and arterial stiffness: a real-world cohort study in the context of predictive, preventive, and personalized medicine
BackgroundArterial stiffness is a major contributor to morbidity and mortality worldwide. Although several metabolic markers associated with arterial...
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Association of IgG N-glycomics with prevalent and incident type 2 diabetes mellitus from the paradigm of predictive, preventive, and personalized medicine standpoint
ObjectivesType 2 diabetes mellitus (T2DM), a major metabolic disorder, is expanding at a rapidly rising worldwide prevalence and has emerged as one...
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Glycomic biomarkers are instrumental for suboptimal health status management in the context of predictive, preventive, and personalized medicine
ObjectivesSuboptimal health status (SHS), a reversible borderline condition between optimal health status and disease, has been recognized as a main...
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Mediterranean diet in the targeted prevention and personalized treatment of chronic diseases: evidence, potential mechanisms, and prospects
The prevalence of chronic diseases is currently a major public health issue worldwide and is exploding with the population growth and aging. Dietary...
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Predicting acupuncture efficacy for functional dyspepsia based on routine clinical features: a machine learning study in the framework of predictive, preventive, and personalized medicine
BackgroundAcupuncture is safe and effective for functional dyspepsia (FD), while its efficacy varies among individuals. Predicting the response of...
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Comprehensive analysis of mitochondrial dysfunction and necroptosis in intracranial aneurysms from the perspective of predictive, preventative, and personalized medicine
Mitochondrial dysfunction and necroptosis are closely associated, and play vital roles in the medical strategy of multiple cardiovascular diseases....
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Identification of potential necroinflammation-associated necroptosis-related biomarkers for delayed graft function and renal allograft failure: a machine learning-based exploration in the framework of predictive, preventive, and personalized medicine
Delayed graft function (DGF) is one of the key post-operative challenges for a subset of kidney transplantation (KTx) patients. Graft survival is...
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Comprehensive multi-omics analysis of the m7G in pan-cancer from the perspective of predictive, preventive, and personalized medicine
BackgroundThe N7-methylguanosine modification (m7G) of the 5′ cap structure in the mRNA plays a crucial role in gene expression. However, the...
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Mitochondrial health quality control: measurements and interpretation in the framework of predictive, preventive, and personalized medicine
Mitochondria are the “gatekeeper” in a wide range of cellular functions, signaling events, cell homeostasis, proliferation, and apoptosis....
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Multi-faceted CRISPR/Cas technological innovation aspects in the framework of 3P medicine
Since 2009, the European Association for Predictive, Preventive and Personalised Medicine (EPMA, Brussels) promotes the paradigm change from reactive...
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Body mass index–based predictions and personalized clinical strategies for colorectal cancer in the context of PPPM
Currently colorectal cancer (CRC) is the third most prevalent cancer worldwide. Body mass index (BMI) is frequently used in CRC screening and risk...
