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p-medicine: A Medical Informatics Platform for Integrated Large Scale Heterogeneous Patient Data
2014
AMIA Annual Symposium Proceedings
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Secure access to patient data is becoming of increasing importance, as medical informatics grows in significance, to both assist with population health studies, and patient specific medicine in support ...
In this paper we present our solution: an easy to use distributed informatics platform embedding a state of the art data warehouse incorporating a secure pseudonymisation system protecting access to personal ...
Acknowledgements The work reported here has been funded in part by the EU FP7 p-medicine (no FP7-ICT-2009-270089) project. ...
pmid:25954394
pmcid:PMC4419910
fatcat:ngqg4zfy2jekrjc64oknjlatyy
Towards an interoperable information infrastructure providing decision support for genomic medicine
2011
Studies in Health Technology and Informatics
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Here we describe our work and future visions around the creation of a distributed infrastructure for pharmacogenetic data and medical decision support, based on industry standards such as the Web Ontology ...
Genomic medicine, in which medical decisions are refined by genetic information of particular patients, is becoming increasingly important. ...
the deployment of automated clinical reminders based on patient characteristics and, ultimately, improving the quality of treatments. ...
pmid:21893735
fatcat:v5vvyj6jwndrlmf46rchf6idxm
Participatory Aspects of ICT Infrastructures for Cancer Management
[chapter]
2019
P5 eHealth: An Agenda for the Health Technologies of the Future
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Lessons Learnt The patient health records, and the diversity of data sources comprising these, make imperative the development of easy-to-use, standardized health informatics platforms. p-Medicine was ...
Patients as users of p-medicine can interact with the p-medicine environment via IEmS (Kondylakis et al. 2012 ), a collaborative environment for patient empowerment. ...
doi:10.1007/978-3-030-27994-3_6
fatcat:qgur5hwzbzcmxm4svgwcns35gm
Pulling the Strands Together: MEGA Steps to Drive European Genomics and Personalised Medicine
2017
Biomedicine Hub
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A number of large scale genome sequencing initiatives have been launched in the last few years to try and capitalise on this potential. ...
The availability of genetic data from a large number of individuals increases the ability to investigate questions across many rare and common diseases and in different populations, and also provides more ...
Many of the tools produced through the p-medicine project will have direct utility for MEGA, which will support the validation of p-medicine tools as well as providing data and aggregated expertise to ...
doi:10.1159/000481300
pmid:31988947
pmcid:PMC6945953
fatcat:dn66jws4rfdfpipvgcrrkc6xia
Smart Recommendation Services in Support of Patient Empowerment and Personalized Medicine
[chapter]
2013
Smart Innovation, Systems and Technologies
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Their efforts, and those of the contributors, will provide the reader with a view of the current state of the field and serve as a roadmap for future research. ...
Last, but not least, we are grateful to the Springer staff for their excellent work.
Piraeus, Greece George A. Tsihrintzis Piraeus, Greece Maria Virvou Adelaide, Australia Lakhmi C. Jain vii ...
Conclusion In this Chapter we argue that the integration of psychological and personal variables into multi-scale data systems containing heterogeneous data from a patient will greatly improve the predictive ...
doi:10.1007/978-3-319-00375-7_4
fatcat:c3aqzd4mkvfkhfcv5u2lgp74gm
Towards an environment for data mining based analysis processes in bioinformatics and personalized medicine
2013
Network Modeling Analysis in Health Informatics and Bioinformatics
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In this paper, we present the challenges for data mining based analysis in bio-and medical informatics and our approach towards a data mining environment addressing these requirements in the p-medicine ...
The p-medicine consortium (http://www.p-medicine.eu) is creating a biomedical platform to facilitate the translation from current practice to a predictive, personalized, preventive, participatory and psycho-cognitive ...
Building blocks for the data mining environment We identified a set of building blocks that can serve as basis for the p-medicine data mining environment: -Reusing available components: a method for the ...
doi:10.1007/s13721-013-0022-1
dblp:journals/netmahib/WegenerRBDR13
fatcat:xnr6jsiko5ff5px2mxbk7ckwfy
Navigating Multi-scale Cancer Systems Biology towards Model-driven Personalized Therapeutics
[article]
2021
bioRxiv
pre-print
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(iii) associated simulation software for development of personalized cancer therapeutics, and (iv) translational attempts to pipeline multi-scale panomics data for data-driven in silico clinical oncology ...
Furthermore, the annotation of these single- or multi-scale models with patient data can additionally assist in designing personalized therapeutic interventions as well as aid in clinical decision-making ...
The platform also acts as a resource to integrate, deposit, track, analyze, as well as disseminate large-scale heterogeneous metabolomics data from a variety of studies. ...
doi:10.1101/2021.05.17.444410
fatcat:vbfvmtb5irdapglgkmh5na73je
Patient Empowerment for Cancer Patients through a Novel ICT Infrastructure
2019
Journal of Biomedical Informatics
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We present in detail the ICT infrastructure developed and our evaluation with the involvement of cancer patients on two sites, a large-scale pilot for adults and a small-scale test for children. ...
novel decision-support tools are combined into an integrated patient empowerment platform. ...
The platform was tested on two sites with the involvement of cancer patients, a large-scale pilot for adults and a smallscale test for children. ...
doi:10.1016/j.jbi.2019.103342
pmid:31816400
fatcat:zwarguz2a5brjiclzxqivv5zuq
Precision medicine needs pioneering clinical bioinformaticians
2017
Briefings in Bioinformatics
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Success in precision medicine depends on accessing high-quality genetic and molecular data from large, well-annotated patient cohorts that couple biological samples to comprehensive clinical data, which ...
From such a scenario emerges the need for a new professional profile, an expert bioinformatician with training in clinical areas who can make sense of multi-omics data to improve therapeutic interventions ...
Acknowledgements Authors would like to thank all members from CNIO Bioinformatics Unit for their comments, all of which have helped improve this manuscript. ...
doi:10.1093/bib/bbx144
pmid:29077790
fatcat:qvbvzunnavfcnjd7w5dqu3qp2m
Genomics big data hybrid depositories architecture to unlock precision medicine: a conceptual framework
2018
International Journal of Engineering & Technology
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Therefore, based on the extensive literature review on the data driven genomics challenges towards precision medicine, this paper proposes two new contributions to the field; the conceptual framework for ...
By tailoring each individual medical treatment through precision medicine, it will potentially lead to nearly zero occurrence of the drugs side effects and treatment complications. ...
Unlike ODMedit, p-medicine, a medical informatics platform, was able to work with variable format of heterogenous patients data [48] . ...
doi:10.14419/ijet.v7i4.16893
fatcat:4lgua7ixtbcxhhcwvenadbc2va
Big Data Analytics for Medication Management in Diabetes Mellitus
2016
International Journal of Studies in Nursing
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Providers rely on pharmaceutical companies to provide research data in widespread formats and pharmaceutical companies rely on hospitals for electronic medical record data (EHR) and for pharmacy refill ...
Medication development plays a prominent role in the fight against chronic illness such as hypertension, diabetes mellitus, asthma, etc. ...
Integration
Challenge in integrating unstructured data; three
types of challenges (functional, metadata and
instance integration) in transforming and
integrating large heterogeneous structured data ...
doi:10.20849/ijsn.v1i1.99
fatcat:roof5auh5fdtfaituf4gvhbm34
Translational Research in the Era of Precision Medicine: Where We Are and Where We Will Go
2021
Journal of Personalized Medicine
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Multi-modality data integration is necessary for example in precision oncology where an Avatar interface allows several simulations in order to define the best therapeutic scheme for each cancer patient ...
The spread of "multi-omics" analysis and the use of sensors, together with the ability to acquire clinical, behavioral, and environmental information on a large scale, will allow the digitization of the ...
the so-called 6-P medicine era (Predictive, Preventive, Personalized, Participatory, Psychosocial, and Public). ...
doi:10.3390/jpm11030216
pmid:33803592
fatcat:ljkyarwy7bbwnkrzlnk55vgupy
A vision and strategy for the virtual physiological human: 2012 update
2013
Interface Focus
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One contribution of 25 to a Theme Issue 'The virtual physiological human: integrative approaches to computational biomedicine'. ...
for the project. ...
principles provide the only method for guiding experimental measurement and integrating and interpreting large amounts of heterogeneous data. ...
doi:10.1098/rsfs.2013.0004
pmid:24427536
pmcid:PMC3638492
fatcat:2waldmlms5apzcfmujmchsntzq
Patient Empowerment through Personal Medical Recommendations
2015
Studies in Health Technology and Informatics
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This paper presents a platform which empowers patients by allowing searching in a high quality document repository. ...
While this type of patient empowerment is widely regarded as having a positive influence on the treatment, there exists the problem that the quality of information that can be found on online is very diverse ...
Acknowledgements This work has been supported by the EU projects p-Medicine, EURECA and MyHealthAvatar and has been partially funded by the European Commission under contracts FP7-270089, FP7-288048 and ...
pmid:26262416
fatcat:ityzufjt4zavhkzh5r5wa4fzoy
Making sense of big data in health research: Towards an EU action plan
2016
Genome Medicine
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The potential of "big data" for improving health is enormous but, at the same time, we face a wide range of challenges to overcome urgently. ...
There is a lack of harmonization of data formats, processing, analysis, and data transfer, which leads to incompatibilities and lost opportunities. Legal frameworks for data sharing are evolving. ...
Online environments such as VPH-Share and projects such as p-medicine have appropriate infrastructures for these applications [81] . ...
doi:10.1186/s13073-016-0323-y
pmid:27338147
pmcid:PMC4919856
fatcat:uvvzkculmnf5lfnyn5u2nvegmm
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