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Integration and Visualization of Translational Medicine Data for Better Understanding of Human Diseases

Venkata Satagopam, Wei Gu, Serge Eifes, Piotr Gawron, Marek Ostaszewski, Stephan Gebel, Adriano Barbosa-Silva, Rudi Balling, Reinhard Schneider
2016 Big Data  
In this article, we present an integrated workflow for exploring, analysis, and interpretation of translational medicine data in the context of human health.  ...  It is not only a great opportunity but also a great challenge, as translational medicine big data is difficult to integrate and analyze, and requires the involvement of biomedical experts for the data  ...  This work has received support from the EU/EFPIA Innovative Medicines Initiative Joint Undertaking AETIONOMY and eTRIKS grants and LCSB, University of Luxembourg.  ... 
doi:10.1089/big.2015.0057 pmid:27441714 pmcid:PMC4932659 fatcat:n7fcnszchrhk5of3kvkmvvjbty

Translational Biomedical Informatics and Computational Systems Medicine

Zhongming Zhao, Bairong Shen, Xinghua Lu, Wanwipa Vongsangnak
2013 BioMed Research International  
We would like to acknowledge the organizers and committee members of The First International Conference on Translational Biomedical Informatics (ICTBI 2012, held on December 8-10, 2012) for their efforts  ...  to provide a forum to discuss translational biomedical informatics and computational systems medicine, through which this special issue was made possible.  ...  in biomedicine, biomedical data mining and database management, system level modeling and simulation of complex diseases, and visualization of complex data in medicine.  ... 
doi:10.1155/2013/237465 pmid:24350252 pmcid:PMC3856116 fatcat:xzkrhwwzfzfydkqhicjsumfb2i

Clinical bioinformatics: a new emerging science

Xiangdong Wang, Lance Liotta
2011 Journal of Clinical Bioinformatics  
JCBi also aims to establish a scientific channel to translate bioinformatics to clinical and medical application in order to better understand molecular and cellular mechanisms and therapies for human  ...  ", a new and important concept for the development of disease-specific biomarkers, mechanism-oriented understanding and individualized medicine.  ...  Submit your next manuscript to BioMed Central and take full advantage of:  ... 
doi:10.1186/2043-9113-1-1 pmid:21884620 pmcid:PMC3097094 fatcat:66zfijcvwren3bdldfbnexzgle

Integration of imaging biomarkers into systems biomedicine: a renaissance for medical imaging

Giovanni Lucignani, Emanuele Neri
2019 Clinical and translational imaging  
Systems biomedicine consists in the integration of biosciences, medicine and computer sciences.  ...  Systems biomedicine is supposed to allow a holistic approach to the human subject and its disease states.  ...  Neri is a recipient of a European grant:  ... 
doi:10.1007/s40336-019-00320-9 fatcat:sqd7xiiiwbfofk4zfnhx7blwpi

Fostering the integration of basic respiratory science and translational pulmonary medicine for the future

Darcy E Wagner, Niki D. Ubags, Thierry Troosters, Miguel A. Alejandre Alcázar
2020 American Journal of Physiology - Lung cellular and Molecular Physiology  
Our purpose is to draw attention to future challenges in integrating lung basic science and translational pulmonary medicine.  ...  to improved understanding of human respiratory diseases.  ... 
doi:10.1152/ajplung.00361.2020 pmid:32755303 fatcat:ipufhrk2tjchlovdcdmlusby6q

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  
Dudley laboratory is involved in various projects for identification and development of novel therapeutic and diagnostic approaches for human disease through integration and analysis of health care, biomedical  ...  healthy state of human physiology to disease setting.  ...  Funding This study was funded by the following grants from National Institutes of Health: National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK, R01-DK098242-03); National Cancer Institute  ... 
doi:10.1093/bib/bbv118 pmid:26876889 pmcid:PMC5221424 fatcat:aqurlfusq5hslpabllsfmygk6m

Translational research in retinology

Ruben Siqueira, Jorge
2011 Clinical Ophthalmology  
These structured and unstructured free text data are critical for patient care and a resource for personalized medicine and translational research.  ...  Laboratory databases hold a vast amount of data on human phenotypes, genotypes, biomarkers, progression of disease, and response to therapy.  ...  Basic research is needed to provide a better understanding of normal conditions vs disease, but it does not directly translate that knowledge into useful clinical applications.  ... 
doi:10.2147/opth.s25249 pmid:22069351 pmcid:PMC3206120 fatcat:s4xum4cq65hm7ecvkvvlmkeakm

Integrative Biology of Diabetic Retinal Disease: Lessons from Diabetic Kidney Disease

Warren W. Pan, Thomas W. Gardner, Jennifer L. Harder
2021 Journal of Clinical Medicine  
Systems biology is widely used to comprehensively understand complex human diseases through the unbiased integration of genetic, environmental, and phenotypic aspects of the disease with the functional  ...  Progress on the development of new therapies for DRD has been limited by the complexity of the human eye, which constrains the utility of traditional research techniques, including animal and tissue culture  ...  Acknowledgments: We thank Michael Rose (University of Michigan) for his help in creating the figures and for his discussion throughout the process.  ... 
doi:10.3390/jcm10061254 pmid:33803590 pmcid:PMC8003049 fatcat:kfc7xkebkrhwxobsdhq3x27nvy

Translational and Personalized Medicine [chapter]

2014 Omics in Clinical Practice  
This leads to understanding of multiple factors that are involved in disease progress on an individual level.  ...  With the rise of personal medicine, we are moving towards a more precise, predictable and powerful medicine that is customized for each individual patient.  ...  MEDICINE, LAW & SOCIETY K. Pavelić, T. Martinović, S. Kraljević Pavelić: Translational and Personalized Medicine  ... 
doi:10.1201/b17137-7 fatcat:il5g6kcslzab5ntgdqkkalpoly

Effective visualization of integrated knowledge and data to enable informed decisions in drug development and translational medicine

Lena Brynne, Anders Bresell, Niclas Sjögren
2013 Journal of Translational Medicine  
The Knowledge Plot concept allows flexible integration and visualization of relevant data for interpretation in order to enable scientific and informed decision-making in various stages of drug development  ...  Integrative understanding of preclinical and clinical data is imperative to enable informed decisions and reduce the attrition rate during drug development.  ...  The inclusion of target engagement data enables a better understanding of the adverse event profiles.  ... 
doi:10.1186/1479-5876-11-250 pmid:24098919 pmcid:PMC3842641 fatcat:eyw3cr4iifcvbe73rfg2oimqkq

Engineering as a new frontier for translational medicine

Shu Chien, Rashid Bashir, Robert M. Nerem, Roderic Pettigrew
2015 Science Translational Medicine  
Merchak (NIBIB) for providing the data for Fig. 1  ...  For example, some pharmacies now transmit medical data and video images to a health care provider for disease management.  ...  T is could be achieved by revamping the f rst two years of medical school-for instance, by integrating systems engineering perspectives into medicine; using modeling, simulation, and visualization to teach  ... 
doi:10.1126/scitranslmed.aaa4325 pmid:25834106 pmcid:PMC4698163 fatcat:cni6v63hp5bc7hs2qsuo2pw5ha

Unraveling human complexity and disease with systems biology and personalized medicine

Stephen Naylor, Jake Y Chen
2010 Personalized Medicine  
Keywords complexity; human health; 'omics; personalized medicine; systems biology; variability Historically, our understanding of human biology has suffered from a paucity of data and information content  ...  In this article, we discuss the current status of human complexity, and how systems biology and personalized medicine can impact at the individual and population level.  ...  Thus, a threefold increase in the percentage of gross domestic product allocated to healthcare has not translated into better therapies and treatments for some of the toughest, yet most common, diseases  ... 
doi:10.2217/pme.10.16 pmid:20577569 pmcid:PMC2888109 fatcat:sro3lsmyvne7nlpnjc5tjav7xq

Applied Systems Biology—embracing molecular imaging for systemic medicine

Marcus Hacker, Rodney J. Hicks, Thomas Beyer
2020 European Journal of Nuclear Medicine and Molecular Imaging  
Our understanding of complex diseases remains rudimentary and limits our ability to make rational and effective treatment choices.  ...  We contend that the combination of DWB-PET with targeted use of established molecular biology approaches holds the promise of deepening our understanding of pathological mechanisms of disease and, thereby  ...  Considering that the same radiopharmaceuticals being used for target visualization and quantification can be applied in both rodents and humans, these methods offer the option for real translational mouse-to-human  ... 
doi:10.1007/s00259-020-04798-8 pmid:32266456 fatcat:fdgipvhbn5be5fpvhu7zibgau4

Artificial Intelligence Pipeline to Bridge the Gap between Bench Researchers and Clinical Researchers in Precision Medicine

2020 Med One  
Precision medicine informatics is a field of research that incorporates learning systems that generate new knowledge to improve individualized treatments using integrated data sets and models.  ...  To illustrate this, we will explore the specific use case of nonalcoholic fatty liver disease, a growing health care problem.  ...  In bioinformatics research, large sets of highly complex multi-omic data are often used to better understand the mechanistic behavior of model systems.  ... 
doi:10.20900/mo20200001 pmid:33511289 pmcid:PMC7839064 fatcat:aenjk6kpt5gjpmi75pv65aszbu

Transdisciplinary approaches enhance the production of translational knowledge

Timothy H. Ciesielski, Melinda C. Aldrich, Carmen J. Marsit, Robert A. Hiatt, Scott M. Williams
2017 Translational Research: The Journal of Laboratory and Clinical Medicine  
The primary goal of translational research is to generate and apply knowledge that can improve human health.  ...  Specifically, we discuss examples where transdisciplinary approaches are helping us to better explore, assess, and intervene to improve human health.  ...  Another promising set of approaches from computational biology leverages visual data representations to help translate complex patterns into specific etiologic questions. 34, 35 Visual methods may be  ... 
doi:10.1016/j.trsl.2016.11.002 pmid:27893987 pmcid:PMC5362296 fatcat:yd4t7qjzqvdjlgfdnfdzqa7scm
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