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https://www.readbyqxmd.com/read/27899677/the-mouse-gene-expression-database-gxd-2017-update
#1
Jacqueline H Finger, Constance M Smith, Terry F Hayamizu, Ingeborg J McCright, Jingxia Xu, Meiyee Law, David R Shaw, Richard M Baldarelli, Jon S Beal, Olin Blodgett, Jeff W Campbell, Lori E Corbani, Jill R Lewis, Kim L Forthofer, Pete J Frost, Sharon C Giannatto, Lucie N Hutchins, Dave B Miers, Howie Motenko, Kevin R Stone, Janan T Eppig, James A Kadin, Joel E Richardson, Martin Ringwald
The Gene Expression Database (GXD; www.informatics.jax.org/expression.shtml) is an extensive and well-curated community resource of mouse developmental expression information. Through curation of the scientific literature and by collaborations with large-scale expression projects, GXD collects and integrates data from RNA in situ hybridization, immunohistochemistry, RT-PCR, northern blot and western blot experiments. Expression data from both wild-type and mutant mice are included. The expression data are combined with genetic and phenotypic data in Mouse Genome Informatics (MGI) and made readily accessible to many types of database searches...
November 28, 2016: Nucleic Acids Research
https://www.readbyqxmd.com/read/27857824/medical-image-encryption-an-application-for-improved-padding-based-ggh-encryption-algorithm
#2
Massoud Sokouti, Ali Zakerolhosseini, Babak Sokouti
Medical images are regarded as important and sensitive data in the medical informatics systems. For transferring medical images over an insecure network, developing a secure encryption algorithm is necessary. Among the three main properties of security services ( i.e. , confidentiality, integrity, and availability), the confidentiality is the most essential feature for exchanging medical images among physicians. The Goldreich Goldwasser Halevi (GGH) algorithm can be a good choice for encrypting medical images as both the algorithm and sensitive data are represented by numeric matrices...
2016: Open Medical Informatics Journal
https://www.readbyqxmd.com/read/27830245/unintended-consequences-of-sensor-signal-and-imaging-informatics-new-problems-and-new-solutions
#3
C Hughes, S Voros, A Moreau-Gaudry
OBJECTIVES: This synopsis presents a selection for the IMIA (International Medical Informatics Association) Yearbook 2016 of excellent research in the broad field of Sensor, Signal and Imaging Informatics published in the year 2015, with a focus on Unintended consequences: new problems and new solutions. METHODS: We performed a systematic initial selection and a double blind peer review process to find the best papers in this domain published in 2015, from the PubMed and Web of Science databases...
November 10, 2016: Yearbook of Medical Informatics
https://www.readbyqxmd.com/read/27807748/medical-imaging-informatics
#4
William Hsu, Suzie El-Saden, Ricky K Taira
Imaging is one of the most important sources of clinically observable evidence that provides broad coverage, can provide insight on low-level scale properties, is noninvasive, has few side effects, and can be performed frequently. Thus, imaging data provides a viable observable that can facilitate the instantiation of a theoretical understanding of a disease for a particular patient context by connecting imaging findings to other biologic parameters in the model (e.g., genetic, molecular, symptoms, and patient survival)...
2016: Advances in Experimental Medicine and Biology
https://www.readbyqxmd.com/read/27782691/technical-note-scuda-a-software-platform-for-cumulative-dose-assessment
#5
Seyoun Park, Todd McNutt, William Plishker, Harry Quon, John Wong, Raj Shekhar, Junghoon Lee
PURPOSE: Accurate tracking of anatomical changes and computation of actually delivered dose to the patient are critical for successful adaptive radiation therapy (ART). Additionally, efficient data management and fast processing are practically important for the adoption in clinic as ART involves a large amount of image and treatment data. The purpose of this study was to develop an accurate and efficient Software platform for CUmulative Dose Assessment (scuda) that can be seamlessly integrated into the clinical workflow...
October 2016: Medical Physics
https://www.readbyqxmd.com/read/27747165/use-of-bio-informatics-assessment-schema-bias-to-improve-diagnosis-and-prognosis-of-myocardial-perfusion-data-results-from-the-nhlbi-sponsored-women-s-ischemia-syndrome-evaluation-wise
#6
Mark Doyle, Gerald M Pohost, C Noel Bairey Merz, Leslee J Shaw, George Sopko, William J Rogers, Barry L Sharaf, Carl J Pepine, Diane V Thompson, Geetha Rayarao, Lindsey Tauxe, Sheryl F Kelsey, Robert W W Biederman
BACKGROUND: We introduce an algorithmic approach to optimize diagnostic and prognostic value of gated cardiac single photon emission computed tomography (SPECT) and magnetic resonance (MR) myocardial perfusion imaging (MPI) modalities in women with suspected myocardial ischemia. The novel approach: bio-informatics assessment schema (BIAS) forms a mathematical model utilizing MPI data and cardiac metrics generated by one modality to predict the MPI status of another modality. The model identifies cardiac features that either enhance or mask the image-based evidence of ischemia...
October 2016: Cardiovascular Diagnosis and Therapy
https://www.readbyqxmd.com/read/27742664/a-bioimage-informatics-platform-for-high-throughput-embryo-phenotyping
#7
James M Brown, Neil R Horner, Thomas N Lawson, Tanja Fiegel, Simon Greenaway, Hugh Morgan, Natalie Ring, Luis Santos, Duncan Sneddon, Lydia Teboul, Jennifer Vibert, Gagarine Yaikhom, Henrik Westerberg, Ann-Marie Mallon
High-throughput phenotyping is a cornerstone of numerous functional genomics projects. In recent years, imaging screens have become increasingly important in understanding gene-phenotype relationships in studies of cells, tissues and whole organisms. Three-dimensional (3D) imaging has risen to prominence in the field of developmental biology for its ability to capture whole embryo morphology and gene expression, as exemplified by the International Mouse Phenotyping Consortium (IMPC). Large volumes of image data are being acquired by multiple institutions around the world that encompass a range of modalities, proprietary software and metadata...
October 14, 2016: Briefings in Bioinformatics
https://www.readbyqxmd.com/read/27730585/segmentation-and-quantitative-analysis-of-epithelial-tissues
#8
Benoit Aigouy, Daiki Umetsu, Suzanne Eaton
Epithelia are tissues that regulate exchanges with the environment. They are very dynamic and can acquire virtually any shape; at the cellular level, they are composed of cells tightly connected by junctions. Most often epithelia are amenable to live imaging; however, the large number of cells composing an epithelium and the absence of informatics tools dedicated to epithelial analysis largely prevented tissue scale studies. Here we present Tissue Analyzer, a free tool that can be used to segment and analyze epithelial cells and monitor tissue dynamics...
2016: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27703503/telemedicine-in-clinical-setting
#9
Xiao-Ying Zhang, Peiying Zhang
The telemedicine department of a hospital is an emerging branch in upcoming hospitals and may become an essential component of every hospital. It basically utilizes the information technologies along with telecommunication systems in order to provide clinical care and assistance. Furthermore, the branch of telemedicine offers significant opportunities for the process of developmental freedom from illness, early death, and preventable diseases. It advances development by providing relevant drugs and the necessary care aimed to alleviate patient suffering...
October 2016: Experimental and Therapeutic Medicine
https://www.readbyqxmd.com/read/27661136/society-of-biomolecular-imaging-and-informatics-special-issue-october-2016
#10
Myles Fennell, Kaylene J Simpson
No abstract text is available yet for this article.
October 2016: Assay and Drug Development Technologies
https://www.readbyqxmd.com/read/27630369/focus-on-bio-image-informatics
#11
(no author information available yet)
No abstract text is available yet for this article.
September 2016: Anticancer Research
https://www.readbyqxmd.com/read/27606313/neural-correlates-of-schizophrenia-negative-symptoms-distinct-subtypes-impact-dissociable-brain-circuits
#12
Joseph J Shaffer, Michael J Peterson, Mary Agnes McMahon, Joshua Bizzell, Vince Calhoun, Theo G M van Erp, Judith M Ford, John Lauriello, Kelvin O Lim, Dara S Manoach, Sarah C McEwen, Daniel H Mathalon, Daniel O'Leary, Steven G Potkin, Adrian Preda, Jessica Turner, Jim Voyvodic, Cynthia G Wible, Aysenil Belger
BACKGROUND: The negative symptoms of schizophrenia include deficits in emotional expression and motivation. These deficits are stable over the course of illness and respond poorly to current medications. Previous studies have focused on negative symptoms as a single category; however, individual symptoms might be related to separate neurological disturbances. We analyzed data from the Functional Biomedical Informatics Research Network dataset to explore the relationship between individual negative symptoms and functional brain activity during an auditory oddball task...
December 2015: Molecular Neuropsychiatry
https://www.readbyqxmd.com/read/27594820/coinstac-a-privacy-enabled-model-and-prototype-for-leveraging-and-processing-decentralized-brain-imaging-data
#13
Sergey M Plis, Anand D Sarwate, Dylan Wood, Christopher Dieringer, Drew Landis, Cory Reed, Sandeep R Panta, Jessica A Turner, Jody M Shoemaker, Kim W Carter, Paul Thompson, Kent Hutchison, Vince D Calhoun
The field of neuroimaging has embraced the need for sharing and collaboration. Data sharing mandates from public funding agencies and major journal publishers have spurred the development of data repositories and neuroinformatics consortia. However, efficient and effective data sharing still faces several hurdles. For example, open data sharing is on the rise but is not suitable for sensitive data that are not easily shared, such as genetics. Current approaches can be cumbersome (such as negotiating multiple data sharing agreements)...
2016: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/27591053/plus-disease-in-retinopathy-of-prematurity-a-continuous-spectrum-of-vascular-abnormality-as-a-basis-of-diagnostic-variability
#14
J Peter Campbell, Jayashree Kalpathy-Cramer, Deniz Erdogmus, Peng Tian, Dharanish Kedarisetti, Chace Moleta, James D Reynolds, Kelly Hutcheson, Michael J Shapiro, Michael X Repka, Philip Ferrone, Kimberly Drenser, Jason Horowitz, Kemal Sonmez, Ryan Swan, Susan Ostmo, Karyn E Jonas, R V Paul Chan, Michael F Chiang
PURPOSE: To identify patterns of interexpert discrepancy in plus disease diagnosis in retinopathy of prematurity (ROP). DESIGN: We developed 2 datasets of clinical images as part of the Imaging and Informatics in ROP study and determined a consensus reference standard diagnosis (RSD) for each image based on 3 independent image graders and the clinical examination results. We recruited 8 expert ROP clinicians to classify these images and compared the distribution of classifications between experts and the RSD...
November 2016: Ophthalmology
https://www.readbyqxmd.com/read/27590870/profiling-stem-cell-states-in-three-dimensional-biomaterial-niches-using-high-content-image-informatics
#15
Anandika Dhaliwal, Matthew Brenner, Paul Wolujewicz, Zheng Zhang, Yong Mao, Mona Batish, Joachim Kohn, Prabhas V Moghe
: A predictive framework for the evolution of stem cell biology in 3-D is currently lacking. In this study we propose deep image informatics of the nuclear biology of stem cells to elucidate how 3-D biomaterials steer stem cell lineage phenotypes. The approach is based on high content imaging informatics to capture minute variations in the 3-D spatial organization of splicing factor SC-35 in the nucleoplasm as a marker to classify emergent cell phenotypes of human mesenchymal stem cells (hMSCs)...
November 2016: Acta Biomaterialia
https://www.readbyqxmd.com/read/27577463/simplified-deployment-of-health-informatics-applications-by-providing-docker-images
#16
Matthias Löbe, Thomas Ganslandt, Lydia Lotzmann, Sebastian Mate, Jan Christoph, Benjamin Baum, Murat Sariyar, Jie Wu, Sebastian Stäubert
Due to the specific needs of biomedical researchers, in-house development of software is widespread. A common problem is to maintain and enhance software after the funded project has ended. Even if many tools are made open source, only a couple of projects manage to attract a user basis large enough to ensure sustainability. Reasons for this include complex installation and configuration of biomedical software as well as an ambiguous terminology of the features provided; all of which make evaluation of software laborious...
2016: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/27577339/mi-lab-a-laboratory-environment-for-medical-informatics-students
#17
Karsten Brandt, Matthias Löbe, Michael Schaaf, Franziska Jahn, Alfred Winter, Sebastian Stäubert
Medical research and health care highly depend on the use of information technology. There is a wide range of application systems (patient administration system, laboratory information system, communication server etc.) and heterogeneous data types (administrative data, clinical data, laboratory data, image data, genomic data etc.). Students and researchers do not often have the possibility to use productive application systems of e.g. hospitals or medical practices to gain practical experiences or examine new components and technologies...
2016: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/27572812/usage-of-structured-reporting-in-radiological-practice-results-from-an-italian-online-survey
#18
Lorenzo Faggioni, Francesca Coppola, Riccardo Ferrari, Emanuele Neri, Daniele Regge
OBJECTIVES: To assess the opinion on structured reporting (SR) and its usage by radiologist members of the Italian Society of Medical Radiology (SIRM) via an online survey. METHODS: All members received an email invitation to join the survey as an initiative by the SIRM Imaging Informatics Chapter. The survey included 10 questions about demographic information, definition of radiological SR, its usage in everyday practice, perceived advantages and disadvantages over conventional reporting and overall opinion about SR...
August 29, 2016: European Radiology
https://www.readbyqxmd.com/read/27570685/comparative-evaluation-for-brain-structural-connectivity-approaches-towards-integrative-neuroinformatics-tool-for-epilepsy-clinical-research
#19
Sheng Yang, Curtis Tatsuoka, Kaushik Ghosh, Nuria Lacuey-Lecumberri, Samden D Lhatoo, Satya S Sahoo
Recent advances in brain fiber tractography algorithms and diffusion Magnetic Resonance Imaging (MRI) data collection techniques are providing new approaches to study brain white matter connectivity, which play an important role in complex neurological disorders such as epilepsy. Epilepsy affects approximately 50 million persons worldwide and it is often described as a disorder of the cortical network organization. There is growing recognition of the need to better understand the role of brain structural networks in the onset and propagation of seizures in epilepsy using high resolution non-invasive imaging technologies...
2016: AMIA Summits on Translational Science Proceedings
https://www.readbyqxmd.com/read/27566853/plus-disease-in-retinopathy-of-prematurity-improving-diagnosis-by-ranking-disease-severity-and-using-quantitative-image-analysis
#20
Jayashree Kalpathy-Cramer, J Peter Campbell, Deniz Erdogmus, Peng Tian, Dharanish Kedarisetti, Chace Moleta, James D Reynolds, Kelly Hutcheson, Michael J Shapiro, Michael X Repka, Philip Ferrone, Kimberly Drenser, Jason Horowitz, Kemal Sonmez, Ryan Swan, Susan Ostmo, Karyn E Jonas, R V Paul Chan, Michael F Chiang
PURPOSE: To determine expert agreement on relative retinopathy of prematurity (ROP) disease severity and whether computer-based image analysis can model relative disease severity, and to propose consideration of a more continuous severity score for ROP. DESIGN: We developed 2 databases of clinical images of varying disease severity (100 images and 34 images) as part of the Imaging and Informatics in ROP (i-ROP) cohort study and recruited expert physician, nonexpert physician, and nonphysician graders to classify and perform pairwise comparisons on both databases...
November 2016: Ophthalmology
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