We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
Clinicians can get a simultaneous consult about their patient''s diagnosis using SimulConsult''s diagnostic decision support software. After some patient findings are entered into the software, it provides an initial differential diagnosis and suggests other useful findings, including tests. The database used by the software has > 2,300 diagnoses, focused on genetic neurological and metabolic diseases, but is expanding with increasing content on non-neurological genetics and non-genetic neurology. The information about diseases is entered by clinicians, referenced to the literature and peer-reviewed by experts. The information includes many types of information ignored in other diagnostic approaches, allowing the software to take into account pertinent negatives, temporal information, and cost of tests. The approach is also flexible enough allow rapid addition of newly recognized diseases. SimulConsult enables both generalists and specialists to transform medical diagnosis, by lowering costs, reducing errors and eliminating the medical diagnostic odysseys experienced by far too many patients and their families. SimulConsult also enables researchers to find diseases with clinical presentations that are similar to other diseases or individual patients, assisting in identifying mechanisms of diseases. The software may be used only by medical professionals (doctors, nurse practitioners, genetic counselors, medical librarians and supervised trainees in these professions), who may register on the site or use the software through institutional access of their medical center. Keywords: diagnosis, diagnostic, software, neurology, genetic, neurological, metabolic, metabolism, human
G-Protein Coupled Receptor Oligomerization Knowledge Base (GPCR-OKB) ontology project offers an ontology that can be downloaded. :G Protein-Coupled Receptors (GPCRs) are a large and diverse family of membrane proteins whose members participate in the regulation of most cellular and physiological processes and therefore represent key pharmacological targets. Although several bioinformatics resources support research on GPCRs, most of them have been designed based on the traditional assumption that monomeric GPCRs constitute the functional receptor unit (Figure 1 below). The increase in the frequency and number of reports about GPCR dimerization/oligomerization and the implication of oligomerization in receptor function makes necessary the ability to store and access information about GPCR dimers/oligomers electronically. :We present here the design blueprint for an information system that can manage the elements of information required to describe comprehensively the phenomena of both homo- and hetero-oligomerization of GPCRs. Specifically, we present the ontology (Figures 2-4 below) that we plan to use for the development of an intuitive and user-friendly GPCR-Oligomerization Knowledge Base (GPCR-OKB). This information system is being designed in close collaboration with experimental colleagues working on GPCR oligomerization, and adopts the list of recommendations recently stipulated by the NC-IUPHAR subcommittee for the recognition and nomenclature of GPCR multimers. :Our long term goal is to disseminate to the scientific community organized, curated, and detailed information about GPCR dimerization/oligomerization, and its related structural context. :Skrabanek L, Murcia M, Bouvier M, Devi L, George SR, Lohse MJ, Milligan G, Neubig R, Palczewski K, Parmentier M, Pin JP, Vriend G, Javitch JA, Campagne F, Filizola M. Requirements and ontology for a G protein-coupled receptor oligomerization knowledge base. BMC Bioinformatics. 2007 May 30;8:177. PMID 17537266 :The ontology files (developed in Protege) can be downloaded. :
An Antibody supplier
An Antibody supplier.
An Antibody supplier
Northern Eclipse 6.0 software is a Windows based full Image Analysis and Archiving System with a full suite of Image Processing techniques, Morphological and Densitometry measuring routines, digital and analogue camera control, SDK for custom camera driver solutions, 3D-Reconstruction, De-Convolution and programmable via 3 levels of automation plus access to hundreds of OLE applications and thousands of scripts.
The Internet Stroke Center at Washington University is pleased to offer this module for viewing CT, MR, and angiogram images of cerebrovascular and neurological diseases. While this project is still being perfected -- and many more cases have yet to be added -- we hope that you will find this collection useful in your education and practice. The images presented here are for educational use only. This information may not be used for diagnosis or treatment. All images are protected property of the Internet Stroke Center at Washington University and may not be reproduced without permission. Permission may be granted to students and professionals to borrow images from this site for educational purposes and/or presentations; we just ask that an email be sent detailing both the desired material and the intended use. Please direct all comments, questions, and requests to the Site Editor of the Internet Stroke Center.
Stroke Trials Registry is a continuously updated registry of randomized clinical trials in stroke and cerebrovascular disease. This project is a free public service from the Internet Stroke Center at Washington University School of Medicine; with support from the American Stroke Association and the National Institute of Neurological Disorders and Stroke. This registry will meet technical standards for inclusion in the International Clinical Trials Registry Platform of the World Health Organization. The information on this site is intended for health professionals. SPOTRIAS is an NIH-funded network of stroke research centers that perform early phase clinical projects, share data, and promote new approaches to therapy for acute stroke. clinical data, human, homo sapien, stroke, translational medicine
Hasenwinkel Research Group is interested in creating absorbable biopolymeric gels for the prevention of post-surgical tissue adhesions, novel two-solution bone cements fro fixation of total join replacements, nerve and soft tissue regeneration, surface modification of materials to enhanve and promote biological function and biocompatibility, studying effects of chemical, mechanical, and electrical environments on the development of three-dimensional tissue scaffolds in culture. :datum, lab web page :
THIS RESOURCE IS NO LONGER IN SERVICE, documented on December 10, 2012. With Cloverleaf Integration Services from Quovadx, Inc., the FDOH now provides managers and policy makers with access to critical data residing in various counties across the state. The Cloverleaf engine is used to map legacy electronic billing formats for Medicaid to HIPAA compliant formats for three of the largest patient care systems in the state without the need to make programming changes to the existing systems that bill Medicaid. The Cloverleaf solution also guarantees the delivery of messages, enables rapid development and deployment of application interfaces between systems and provides a means of maintaining compliance with any new HIPAA format changes. While making the data available to a larger audience, the privacy and security of sensitive health data is also maintained by the solution''s ability to manage security and business rules for each system.
i2b2 (Informatics for Integrating Biology and the Bedside) is an NIH-funded National Center for Biomedical Computing based at Partners HealthCare System. The i2b2 Center is developing a scalable informatics framework that will enable clinical researchers to use existing clinical data for discovery research and, when combined with IRB-approved genomic data, facilitate the design of targeted therapies for individual patients with diseases having genetic origin. For some resources (e.g. software) the use of the resource requires accepting a specific (e.g. OpenSource) license.
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 2, 2023. A section of the Penn department of radiology, it is devoted to the development of computer-based image analysis methods and their application to clinical research studies. Image analysis methodologies include image registration, segmentation, population-based statistical analysis, biophysical modeling of anatomical deformations, and high-dimensional pattern classification. Clinical research studies spans a variety of clinical areas and organs, and they include brain diseases such as Alzheimer's disease and schizophrenia, evaluation of treatment effects in large clinical trials, diagnosis of cardiac diseases, and diagnosis prostate, breast and brain cancer. SBIA also performs small animal imaging research aiming to understand brain development in mouse models. It has multiple resources which can be accessed by researcher.
THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. Collection of Unix-based programs for pre-processing and analyzing neuroimaging datasets. This includes tools for mean-normalization of images, image registration, ANOVA, post-hoc contrast analysis, region-of-interest identification and examination (including time series). Includes a test data set.
Welcome to the Syracuse Biomaterials Institute! We are a new, interdisciplinary institute focused on research in biomaterials, smart medical devices, and biological/tissue-engineered constructs. Biomaterials are natural and synthetic substances designed to treat, augment, or replace tissues and organs of the human body as treatments to disease or injury. An outgrowth of the long-standing Biomaterials Group in the Biomedical and Chemical Engineering Department, the Syracuse Biomaterials Institute (SBI) was launched in Fall, 2007, through strategic investments by Syracuse University, New York State Foundation for Science, Technology and Innovation (NYSTAR), and private donations. SBI is a cohesive collection of highly collaborative faculty spanning eight (8) academic units, including faculty from SUNY Upstate Medical University and SUNY College of Environmental Science and Forestry. Our researchers are engaged in a wide spectrum of problems, ranging from fundamental studies of the biochemical and physical processes controlling cell functions to the development of new technologies for biomedical applications. In addition to our collaborative research and teaching activities, we are excited to be designing our future SBI home, planned for Fall 2009, that will collocate our research groups and central laboratory facilities. :jobs board, postdoctoral training program, graduate training program, portal :
XV is an interactive image manipulation program for the X Window System. It can operate on images in the GIF, JPEG, TIFF, PBM, PGM, PPM, XPM, X11 bitmap, Sun Rasterfile, Targa, RLE, RGB, BMP, PCX, FITS, and PM formats on all known types of X displays. It can generate PostScript files, and if you have ghostscript (version 2.6 or above) installed on your machine, it can also display them. XV allows users to: display an image on the root window, in a variety of styles; grab any rectangular portion of the screen and turn it into an image; arbitrarily stretch, compress, rotate or flip the image; view files as ASCII text or hexadecimal data; determine pixel values and x,y coordinates in the image; apply different gamma functions to the Red, Green, and Blue color components, to correct for non-linear color response; and run a number of image-processing algorithms on any rectangular portion of the image, among other functions.
THIS RESOURCE IS NO LONGER IN SERVICE. NIH tombstone webpage lists Project Period : 2009 - 2013. The NEMO ERP Analysis Toolkit includes tools for EEG/ERP and MEG data decomposition, and ontology-based mark-up, annotation, and labeling of patterns in EEG and MEG data. These tools have been implemented in MATLAB by Robert Frank, a mathematician and data analyst for NEMO. The current NEMO analysis pipeline has been designed with the aim to support cross-lab, cross-experiment meta-analysis of EEG and MEG data. The current proposed processing pipeline consists of the following steps: * Step 1: Decomposing ERP data (continuous data are transformed into discrete patterns for analysis) o PCA/ ICA/Microstate * Step 2: Marking up the analysis results o Each pattern is annotated with labels that relate pattern attributes to NEMO ontology concepts * Step 3: Clustering the observed patterns within and across experimental groups * Step 4: Labeling the cross-experiment clusters Each item in the above list is a step/phase in the processing pipeline and is associated with a set of matlab scripts in our NEMO ERP Analysis Toolkit, which is implemented by a collection of MATLAB scripts.
An Antibody supplier
An Antibody supplier
Web site last updated August 26, 1998 Automatic method for comparing different MRI datasets by visual inspection of equivalent anatomical planes. Implementation is based on multi-scale, three dimensional (3D) cross-correlation, to register a given volumetric data set to an average MRI brain (n > 300) aligned with the Talairach stereotaxic coordinate system. :
SigPath is a prototype of an information system for cell signaling pathways and networks. A primary emphasis of SigPath is that biochemical information can be stored both at the qualitative and quantitative levels. When information is stored quantitatively, SigPath can assist users in generating quantitative models that can be used to simulate how the concentrations of the molecules involved in a model change over time. For background, design goals, tutorials, and contact information, visit the SigPath Project Pages :Gs pathway, LSD_binds_serotonin 2AR, MAPK cascade, EGFR signaling and MAP kinase cascade, EGF receptors, mGluR activation :