Filters








388 Hits in 5.6 sec

Translational informatics of population health: How large biomolecular and clinical datasets unite

Yves A. Lussier, Atul J. Butte, Haiquan Li, Rong Chen, Jason H. Moore
2018 Biocomputing 2019  
This paper summarizes the workshop content on how the integration of large biomolecular and clinical datasets can enhance the field of population health via translational informatics.  ...  the translation to clinical practice for improving health outcomes.  ...  Colleen Kenost for her organizational contributions with this workshop and proceedings paper.  ... 
doi:10.1142/9789813279827_0043 fatcat:oplfghfzafdofofkbzeyywjpt4

Traits and types of health data repositories

Ted D Wade
2014 Health Information Science and Systems  
We review traits of reusable clinical data and offer a typology of clinical repositories with a range of known examples.  ...  It would have longitudinal, multi-leveled (environmental through molecular) data on a large population of identified, consenting individuals.  ...  Acknowledgements This review was supported by National Jewish Health and the Colorado Clinical and Translational Science Institute, grant UL1RR025780 from NIH.  ... 
doi:10.1186/2047-2501-2-4 pmid:25825668 pmcid:PMC4340801 fatcat:4f4dcxbdqfg5vkc3yzhumdxdsy

Translational bioinformatics in the era of real-time biomedical, health care and wellness data streams

Khader Shameer, Marcus A. Badgeley, Riccardo Miotto, Benjamin S. Glicksberg, Joseph W. Morgan, Joel T. Dudley
2016 Briefings in Bioinformatics  
Dr Khader is working at the interface of biomedical informatics, drug repositioning and genomic medicine and pioneering efforts to translate advances in translational bioinformatics to population health  ...  The accessibility and clinical utility of such Khader Shameer is a senior biomedical and health care informatics scientist in Dr Joel Dudley's laboratory and the Harris Center for Precision Wellness of  ...  (NCI, U54-CA189201-02) to JTD and National Center for Advancing Translational Sciences (NCATS, UL1TR000067) Clinical and Translational Science Awards (CTSA) grant to JTD and KS.  ... 
doi:10.1093/bib/bbv118 pmid:26876889 pmcid:PMC5221424 fatcat:aqurlfusq5hslpabllsfmygk6m

Genetic data and electronic health records: a discussion of ethical, logistical and technological considerations

Kimberly Shoenbill, Norman Fost, Umberto Tachinardi, Eneida A Mendonca
2014 JAMIA Journal of the American Medical Informatics Association  
With this explosion of information, questions of what, when, where and how to incorporate genetic data into electronic health records (EHRs) have reached a critical point.  ...  Genetic data obtained for clinical purposes, as is true for all results of clinical tests, are expected to be included in patients' medical records.  ...  Green and Guyer 69 explained, "Existing clinical informatics architectures are largely incapable of storing genome sequence data in a way that allows the information to be searched, annotated and shared  ... 
doi:10.1136/amiajnl-2013-001694 pmid:23771953 pmcid:PMC3912723 fatcat:lmbiymqoivahnifwdnxtbghehe

Unlocking Big Data for better health

Steven Munevar
2017 Nature Biotechnology  
between electronic health record systems and clinical research.  ...  Understanding how some of these factors change at a molecular level has been a challenge to the safe translation of medicines from one population to another.  ... 
doi:10.1038/nbt.3918 pmid:28700551 fatcat:oqiurm5cgzec7lfenvjvlemxoy

Scaling up the Big Health Data Ecosystem: Engaging all Stakeholders!

Dipak Kalra
2020 Journal of the International Society for Telemedicine and eHealth  
For the public to be on board they have to understand much more than most people do about the nature of health data, how it can be used for the benefit of society and what safeguards protect them when  ...  Standards exist to achieve this, although more stakeholder engagement is needed in defining practical clinical models and value sets, but the real adoption of interoperability is disappointing and needs  ...  of the patient and of that patient population.  ... 
doi:10.29086/jisfteh.8.e16 fatcat:nudqpunr4bathkmmabnwh6flum

Biobanking in health care: evolution and future directions

Luigi Coppola, Alessandra Cianflone, Anna Maria Grimaldi, Mariarosaria Incoronato, Paolo Bevilacqua, Francesco Messina, Simona Baselice, Andrea Soricelli, Peppino Mirabelli, Marco Salvatore
2019 Journal of Translational Medicine  
The aim of the present review is to discuss how the promising field of biobanking can support health care research strategies.  ...  and Biomolecular Resources Research Infrastructure (BBMRI).  ...  Acknowledgements We want to thank all the patients involved in the creation of research biobanks.  ... 
doi:10.1186/s12967-019-1922-3 pmid:31118074 pmcid:PMC6532145 fatcat:bwgdmvionbd6hm5o4m6liuvhli

Cardiovascular Informatics: building a bridge to data harmony

J Harry Caufield, Dibakar Sigdel, John Fu, Howard Choi, Vladimir Guevara-Gonzalez, Ding Wang, Peipei Ping
2021 Cardiovascular Research  
We discuss how and why this interdisciplinary space of Cardiovascular Informatics is particularly relevant to and supportive of current experimental and clinical research.  ...  Frequently lauded as a field with great practical and translational potential, the interface between biomedical informatics and cardiovascular medicine is challenged with staggeringly massive datasets.  ...  Acknowledgements The authors thank Samir Akre for assistance with conceptual development of data exploration workflows.  ... 
doi:10.1093/cvr/cvab067 pmid:33751044 pmcid:PMC9020200 fatcat:wkryk7uhyncyjg2lzrtiasl2lq

Abstracts from Plenary and Keynote Speakers

2018 Public Health Genomics  
Cancers are common diseases which are among the leading causes of death worldwide, and their incidence is increasing as the population ages.  ...  Last but not least, combination of cloud-based and manufacturer installable analytic pipelines together with inclusion of RNA and protein information in conjunction with sequencing data are becoming critical  ...  One of the biggest challenges will be the translation of the large amounts of genetic data into useful and comprehensible medical information and recommendations.  ... 
doi:10.1159/000493202 pmid:30219808 fatcat:s7jfdl2q5jhkrpwwotsfnw4tsa

NIAID genomics programs and global health

Maria Y Giovanni
2011 Genome Biology  
This dataset provides a framework for personal genomics and is an important resource that will allow inferences of broad importance to human evolution and health.  ...  The unprecedented magnitude of this dataset allowed us to rigorously characterize the large variation in nucleotide diversity among genes (ranging from 0 to 1.32%), as well as the role of positive and  ...  With G-CODE, we hope to help enable the creation of new disease-centric portals, as well as the widespread use of biomedical informatics tools by basic, clinical and translational researchers, through  ... 
doi:10.1186/1465-6906-12-s1-i6 fatcat:6bnwkgvlordorcssxmv3sh6lmu

Biobanking for Europe

M. Yuille, G.-J. van Ommen, C. Brechot, A. Cambon-Thomsen, G. Dagher, U. Landegren, J.-E. Litton, M. Pasterk, L. Peltonen, M. Taussig, H-E. Wichmann, K. Zatloukal
2007 Briefings in Bioinformatics  
To address these issues, a Biobanking and BioMolecular Resources Infrastructure (BBMRI) is to be developed across Europe, thereby implementing a European 'roadmap' for research infrastructures that was  ...  developed by a forum of EU member states and that has been received by the European Commission.  ...  Acknowledgements The development of plans we describe for biobanking and biomolecular resources infrastructure has involved a large number of people including those named in Supplementary Table 1  ... 
doi:10.1093/bib/bbm050 pmid:17959611 fatcat:ggrkvisrdfc6bauyd366fxbf5u

Applying systems biology to biomedical research and health care: a précising definition of systems medicine

Sebastian Schleidgen, Sandra Fernau, Henrike Fleischer, Christoph Schickhardt, Ann-Kristin Oßa, Eva C. Winkler
2017 BMC Health Services Research  
states as well as innovative approaches to drug discovery) and health care (i.e. prevention, prediction, diagnosis and treatment) through stratification by means of Systems Biology (i.e. data integration  ...  From these we derived the précising definition: Systems Medicine is an approach seeking to improve medical research (i.e. the understanding of complex processes occurring in diseases, pathologies and health  ...  Availability of data and materials All data generated or analyzed during this study are included in this published article and its supplementary information files.  ... 
doi:10.1186/s12913-017-2688-z pmid:29162092 pmcid:PMC5698952 fatcat:hnfbn6lcpvfljaorjltrqwkelu

Comparative analysis of the vaginal microbiome in health and disease

Bryan A White, Andres M Gomez, Mengfei Ho, Margret Berg Miller, Susan M Thomas, Carl J Yeoman, Suleyman Yildirim, Douglas J Creedon, Tony L Goldberg, Steven R Leigh, Karen E Nelson, Rebecca M Stumpf (+1 others)
2011 Genome Biology  
This dataset provides a framework for personal genomics and is an important resource that will allow inferences of broad importance to human evolution and health.  ...  The unprecedented magnitude of this dataset allowed us to rigorously characterize the large variation in nucleotide diversity among genes (ranging from 0 to 1.32%), as well as the role of positive and  ...  novo copy number variation, de novo point mutations of large eff ect could explain the majority of all mental retardation cases in the population.  ... 
doi:10.1186/gb-2011-12-s1-i17 fatcat:nniwcsopi5enhd5ho556rexdce

Innovations in Genomics and Big Data Analytics for Personalized Medicine and Health Care: A Review

Mubashir Hassan, Faryal Mehwish Awan, Anam Naz, Enrique J. deAndrés-Galiana, Oscar Alvarez, Ana Cernea, Lucas Fernández-Brillet, Juan Luis Fernández-Martínez, Andrzej Kloczkowski
2022 International Journal of Molecular Sciences  
Enormously large, rapidly growing collections of biomedical omics-data (genomics, proteomics, transcriptomics, metabolomics, glycomics, etc.) and clinical data create major challenges and opportunities  ...  Big data in health care is a fast-growing field and a new paradigm that is transforming case-based studies to large-scale, data-driven research.  ...  The use of multimodal data helps in a deeper analysis of large datasets, which improves the understanding of human health and disease by leaps and bound.  ... 
doi:10.3390/ijms23094645 pmid:35563034 pmcid:PMC9104788 fatcat:yvzczyasqrdh3htmh5tmbpsflu

Pulling the Strands Together: MEGA Steps to Drive European Genomics and Personalised Medicine

Denis Horgan, Mario Romao, Rob Hastings
2017 Biomedicine Hub  
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  ...  A number of large scale genome sequencing initiatives have been launched in the last few years to try and capitalise on this potential.  ...  The authors have no conflicts of interest to declare. Funding Sources No funding sources.  ... 
doi:10.1159/000481300 pmid:31988947 pmcid:PMC6945953 fatcat:dn66jws4rfdfpipvgcrrkc6xia
« Previous Showing results 1 — 15 out of 388 results