ArticlePacific Symposium on Biocomputing. Pacific Symposium on Biocomputing2015
Personalized medicine: from genotypes, molecular phenotypes and the quantified self, towards improved medicine.
Article in Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Activity Theory as a Theoretical Framework for Health Self-Quantification: A Systematic Review of Empirical Studies.Journal of medical Internet research · 2016Pooled it
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- Compare three deep learning-based artificial intelligence models for classification of calcified lumbar disc herniation: a multicenter diagnostic study.Frontiers in surgery · 2024Article
- Legal and Ethical Consideration in Artificial Intelligence in Healthcare: Who Takes Responsibility?Frontiers in surgery · 2022Review
- Designing and testing a blockchain application for patient identity management in healthcare.JAMIA open · 2021Article
- Predictive model for the 5-year survival status of osteosarcoma patients based on the SEER database and XGBoost algorithm.Scientific reports · 2021Article
- The Need for Precision Medicine to be Applied to Diabetes.Journal of diabetes science and technology · 2020Article
- Data Science for Child Health.The Journal of pediatrics · 2019Review
- Feasibility study of a point-of-care positron emission tomography system with interactive imaging capability.Medical physics · 2019Article
- A guide to deep learning in healthcare.Nature medicine · 2019Review
- Early diagnosis of disease using microbead array technology: A review.Analytica chimica acta · 2018Review
- In Vitro Evaluation of 2D-Printed Edible Films for the Buccal Delivery of Diclofenac Sodium.Materials (Basel, Switzerland) · 2018Article
- Conceptual and terminological confusion around personalised medicine: a coping strategy.BMC medical ethics · 2016Article
- Comparative analyses of population-scale phenomic data in electronic medical records reveal race-specific disease networks.Bioinformatics (Oxford, England) · 2016Article
- Self-tracking the microbiome: where do we go from here?Microbiome · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Advances in molecular profiling and sensor technologies are expanding the scope of personalized medicine beyond genotypes, providing new opportunities for developing richer and more dynamic multi-scale models of individual health. Recent studies demonstrate the value of scoring high-dimensional microbiome, immune, and metabolic traits from individuals to inform personalized medicine. Efforts to integrate multiple dimensions of clinical and molecular data towards predictive multi-scale models of individual health and wellness are already underway. Improved methods for mining and discovery of clinical phenotypes from electronic medical records and technological developments in wearable sensor technologies present new opportunities for mapping and exploring the critical yet poorly characterized "phenome" and "envirome" dimensions of personalized medicine. There are ambitious new projects underway to collect multi-scale molecular, sensor, clinical, behavioral, and environmental data streams from large population cohorts longitudinally to enable more comprehensive and dynamic models of individual biology and personalized health. Personalized medicine stands to benefit from inclusion of rich new sources and dimensions of data. However, realizing these improvements in care relies upon novel informatics methodologies, tools, and systems to make full use of these data to advance both the science and translational applications of personalized medicine.
Indexed as
Identifiers
25592594PMC5893135What 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.