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Predictive factors, preventive implications, and personalized surgical strategies for bone metastasis from lung cancer: population-based approach with a comprehensive cancer center-based study
BackgroundBone metastasis (BM) and skeletal-related events (SREs) happen to advanced lung cancer (LC) patients without warning. LC-BM patients are...
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Ideal cardiovascular health metrics and life expectancy free of cardiovascular diseases: a prospective cohort study
ObjectivesWhether cardiovascular health (CVH) metrics impact longevity with and without cardiovascular diseases (CVDs) has not been well established....
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Frailty mediating the causality between leucocyte telomere length and mortality: a cohort study of 440,551 UK Biobank participants
IntroductionPrevious studies reported leucocyte telomere length (LTL) and frailty were associated with mortality, but it remains unclear whether...
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Development and validation of a short-form suboptimal health status questionnaire
BackgroundSuboptimal health status (SHS) is a reversible, borderline state between optimal health and disease. Although this condition’s definition...
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Identification of novel serum protein biomarkers in the context of 3P medicine for intravenous leiomyomatosis: a data-independent acquisition mass spectrometry-based proteomics study
BackgroundIntravenous leiomyomatosis (IVL) is a rare endocrine-associated tumor with unique characteristics of intravascular invasion. This study...
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Cancer screening in hospitalized ischemic stroke patients: a multicenter study focused on multiparametric analysis to improve management of occult cancers
Background/aimsThe reciprocal promotion of cancer and stroke occurs due to changes in shared risk factors, such as metabolic pathways and molecular...
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10th Anniversary of the European Association for Predictive, Preventive and Personalised (3P) Medicine - EPMA World Congress Supplement 2020
In 2019, the EPMA celebrated its 10th anniversary at the 5th World Congress in Pilsen, Czech Republic. The history of the International Professional...
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Emerging frontiers of artificial intelligence and machine learning in ischemic stroke: a comprehensive investigation of state-of-the-art methodologies, clinical applications, and unraveling challenges
At present, stroke remains the second highest cause of death globally and a leading cause of disability. From 1990 to 2019, the absolute number of...
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Automated detection of nine infantile fundus diseases and conditions in retinal images using a deep learning system
PurposeWe developed an Infant Retinal Intelligent Diagnosis System (IRIDS), an automated system to aid early diagnosis and monitoring of infantile...
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Eyecare-cloud: an innovative electronic medical record cloud platform for pediatric research and clinical care
Background and objectivesClinical data are essential for develo** cloud platforms for intelligent diagnosis and treatment decision of diseases....
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Multi-omic profiling reveals potential biomarkers of hepatocellular carcinoma prognosis and therapy response among mitochondria-associated cell death genes in the context of 3P medicine
BackgroundCancer cell growth, metastasis, and drug resistance are major challenges in treating liver hepatocellular carcinoma (LIHC). However, the...
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Prognostic significance of pretreatment red blood cell distribution width in primary diffuse large B-cell lymphoma of the central nervous system for 3P medical approaches in multiple cohorts
Background/aimsPredicting the clinical outcomes of primary diffuse large B-cell lymphoma of the central nervous system (PCNS-DLBCL) to...
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Social determinants of health and their relation to suboptimal health status in the context of 3PM: a latent profile analysis
BackgroundSuboptimal health is identified as a reversible phase occurring before chronic diseases manifest, emphasizing the significance of early...
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New insight of metabolomics in ocular diseases in the context of 3P medicine
Metabolomics refers to the high-through untargeted or targeted screening of metabolites in biofluids, cells, and tissues. Metabolome reflects the...
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Personalization of medical treatments in oncology: time for rethinking the disease concept to improve individual outcomes
The agenda of pharmacology discovery in the field of personalized oncology was dictated by the search of molecular targets assumed to...
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Mass spectrometry analysis of human tear fluid biomarkers specific for ocular and systemic diseases in the context of 3P medicine
Over the last two decades, a large number of non-communicable/chronic disorders reached an epidemic level on a global scale such as diabetes mellitus...
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Multi-omics identification of an immunogenic cell death-related signature for clear cell renal cell carcinoma in the context of 3P medicine and based on a 101-combination machine learning computational framework
BackgroundClear cell renal cell carcinoma (ccRCC) is a prevalent urological malignancy associated with a high mortality rate. The lack of a reliable...
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Personalized Microbiome Correction by Application of Individual Nutrition for Type 2 Diabetes Treatment
Type 2 diabetes is one of the most common noncommunicable diseases in the world regardless of their age and region due to the changes in lifestyles,...
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Microbiome and Obesity
Obesity is a complex metabolic disease disturbing both children and adults. Childhood obesity is a consequence of develo** this pathology and...
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Machine learning–couched treatment algorithms tailored to individualized profile of patients with primary anterior chamber angle closure predisposed to the glaucomatous optic neuropathy
BackgroundPrimary angle closure glaucoma (PACG) is still one of the leading causes of irreversible blindness, with a trend towards an increase in the...
