ArticleThe EPMA journal2013
From integrative disease modeling to predictive, preventive, personalized and participatory (P4) medicine.
Article in The EPMA journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- P4 medicine and osteoporosis: a systematic review.Wiener klinische Wochenschrift · 2016Pooled it
- Development and validation of a prognostic prediction model for lumbar-disc herniation based on machine learning and fusion of clinical text data and radiomic features.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026Article
- Clinical and radiomics feature-based outcome analysis in lumbar disc herniation surgery.BMC musculoskeletal disorders · 2023Article
- Unraveling patient heterogeneity in complex diseases through individualized co-expression networks: a perspective.Frontiers in genetics · 2023Article
- Predictive genomic tools in disease stratification and targeted prevention: a recent update in personalized therapy advancements.The EPMA journal · 2022Review
- Application of a nomogram to radiomics labels in the treatment prediction scheme for lumbar disc herniation.BMC medical imaging · 2022Article
- hiPSCs for predictive modelling of neurodegenerative diseases: dreaming the possible.Nature reviews. Neurology · 2021Review
- STO: Stroke Ontology for Accelerating Translational Stroke Research.Neurology and therapy · 2021Article
- Bridging Scales in Alzheimer's Disease: Biological Framework for Brain Simulation With The Virtual Brain.Frontiers in neuroinformatics · 2021Review
- Opportunities for multiscale computational modelling of serotonergic drug effects in Alzheimer's disease.Neuropharmacology · 2020Review
- Abdominal aortic aneurysm in prostate cancer patients: the "road map" from incidental detection to advanced predictive, preventive, and personalized approach utilizing common follow-up for both pathologies.The EPMA journal · 2019Article
- Predictive, Personalized, Preventive and Participatory (4P) Medicine Applied to Telemedicine and eHealth in the Literature.Journal of medical systems · 2019Review
- Navigating the disease landscape: knowledge representations for contextualizing molecular signatures.Briefings in bioinformatics · 2019Review
- Challenges of Integrative Disease Modeling in Alzheimer's Disease.Frontiers in molecular biosciences · 2019Review
- Connected Health.Frontiers in digital health · 2019Article
- Blood-based biomarkers for Alzheimer disease: mapping the road to the clinic.Nature reviews. Neurology · 2018Review
- Revolution of Alzheimer Precision Neurology. Passageway of Systems Biology and Neurophysiology.Journal of Alzheimer's disease : JAD · 2018Review
- Personalized medicine in rheumatology: the paradigm of serum autoantibodies.Auto- immunity highlights · 2017Review
- Of Mice and Men: Comparative Analysis of Neuro-Inflammatory Mechanisms in Human and Mouse Using Cause-and-Effect Models.Journal of Alzheimer's disease : JAD · 2017Review
- Biomarker-guided classification scheme of neurodegenerative diseases.Journal of sport and health science · 2016Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the significant advancement of high-throughput technologies and diagnostic techniques throughout the past decades, molecular underpinnings of many disorders have been identified. However, translation of patient-specific molecular mechanisms into tailored clinical applications remains a challenging task, which requires integration of multi-dimensional molecular and clinical data into patient-centric models. This task becomes even more challenging when dealing with complex diseases such as neurodegenerative disorders. Integrative disease modeling is an emerging knowledge-based paradigm in translational research that exploits the power of computational methods to collect, store, integrate, model and interpret accumulated disease information across different biological scales from molecules to phenotypes. We argue that integrative disease modeling will be an indispensable part of any P4 medicine research and development in the near future and that it supports the shift from descriptive to causal mechanistic diagnosis and treatment of complex diseases. For each 'P' in predictive, preventive, personalized and participatory (P4) medicine, we demonstrate how integrative disease modeling can contribute to addressing the real-world issues in development of new predictive, preventive, personalized and participatory measures. With the increasing recognition that application of integrative systems modeling is the key to all activities in P4 medicine, we envision that translational bioinformatics in general and integrative modeling in particular will continue to open up new avenues of scientific research for current challenges in P4 medicine.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.