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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
A diagnostic exam used to determine DSM-IV Axis I disorders (SCID-I) (major mental disorders) and Axis II disorders (SCID-II) (personality disorders). An Axis I SCID assessment with a psychiatric patient usually takes between 1 and 2 hours, depending on the complexity of the subject's psychiatric history and their ability to clearly describe episodes of current and past symptoms. A SCID with a non-psychiatric patient takes 1/2 hour to 1-1/2 hours. A SCID-II personality assessment takes about 1/2 to 1 hour. The instrument was designed to be administered by a clinician or trained mental health professional. (Adapter from Wikipedia)
Proper citation: Structured Clinical Interview for DSM-IV (RRID:SCR_003682) Copy
http://phenotips.cs.toronto.edu/
A software tool providing a Web interface and a database back-end for collecting clinical symptoms and physical findings observed in patients with genetic disorders. The main goals of this software are * To allow for collecting patient data in standard formats, enabling effortless data exchange and automated search in annotated gene and disease databases, and * To provide advanced functionalities and a friendly user interface that help reduce the clinician''''s workload, permitting seamless use of this application within the clinician''''s routine. PhenoTips uses the Human Phenotype Ontology (HPO) to express clinical phenotypes, and provides a friendly interface with error-tolerant, predictive search of phenotypic descriptions. PhenoTips closely mirrors clinician workflows: observations can be recorded directly during the patient encounter, and the interface is compatible with any device that runs a modern Web browser. The clinician can record demographic information, family history, medical history, various standard measurements, phenotypic abnormalities detected in the patient, pertinent indications that were not observed and that can be helpful for differential diagnosis, relevant images depicting manifestations of the patient''''s disorders, and additional notes for each of these categories. The software automatically plots growth curves, selects phenotypes reflecting abnormal measurements, instantly finds OMIM disorders matching the phenotypic description and suggests other symptoms to investigate in order to reach a more accurate diagnosis.
Proper citation: PhenoTips (RRID:SCR_006340) Copy
https://case.edu/medicine/cddrcc/cores/
Collection of four cores: the biorepository core, for clinical specimen storage; the Histology/Imaging Core, for tissue preparation and sectioning; the Mouse Models Core, for education and training on various mouse modeling techniques; and the Clinical Component of the Administrative Core, for clinical study design consultation.
Proper citation: Cleveland Digestive Diseases Research Core Facilities (RRID:SCR_015216) Copy
Core whose aim is to translate basic science research into effective diagnostic and therapeutic strategies that will improve the lives of patients by interrupting the pathogenesis of chronic kidney disease and its attendant high risk of cardiovascular disability and death. It combines comprehensive human genetics with phenotyping of subjects.
Proper citation: George M. O'Brien Kidney Research Core Center - UT Southwestern Medical Center Clinical and Translational Core (RRID:SCR_015295) Copy
http://cunorc.org/cores/clinical-core/
Core facility for the University of Colorado Anschutz Medical Campus Nutrition and Obesity Research Center. Core provides NORC members assistance with clinical research studies involving modification of body weight.
Proper citation: University of Colorado Anschutz Medical Campus Nutrition and Obesity Research Center Clinical Intervention and Translation Core Facility (RRID:SCR_015912) Copy
https://sdrc.stanford.edu/sdrc-research-cores/dctc/home/
With the following services from the Diabetes Clinical and Translational Core (DCTC), members will receive training in biospecimen preservation, study design, data analysis, data management, use of statistical software and clinical trial conduct.
Proper citation: Stanford Diabetes Research Center Diabetes Clinical and Translational Core (RRID:SCR_016212) Copy
https://sdrc.stanford.edu/sdrc-research-cores/dimc/home/
Core facility that provides immune monitoring assays at the RNA, protein, and cellular level, as well as archiving, reporting, and data mining support for clinical and translational studies related to Diabetes. The DIMC is a specialized subcore of the Human Immune Monitoring Center (HIMC) at Stanford.
Proper citation: Stanford Diabetes Research Center Diabetes Immune Monitoring Core (RRID:SCR_016210) Copy
http://cpl.med.miami.edu/services/
Full service veterinary reference laboratory directed by members of faculty of University of Miami Miller School of Medicine. Offers clinical pathology and histopathology services to meet needs of avian, exotic, lab animal, and wildlife veterinarians. Services include Acute Phase Protein Laboratory. Provides recent diagnostic testing developments which may not yet be available in other veterinary diagnostic testing environments.
Proper citation: Miami University Veterinary Clinical Pathology Laboratory Core Facility (RRID:SCR_017822) Copy
http://case.edu/medicine/ccir/imaging-research-core/
Core provides preclinical and clinical imaging instrumentation and techniques.Preclinical services include Bioluminescence,Fluorescence,In situ cryoimaging,Magnetic Resonance Imaging (MRI),Positron Emission Tomography (PET),Radiochemistry Synthesis, Scintigraphy,Ultrasound,X-ray / Computed Tomography (CT) / micro CT,Image Processing / Quantification clinical research imaging systems. Clinical services include Comprehensive MR imaging research services, Dedicated Siemens Skyra 3T MRI scanner, Large animal preclinical studies, or clinical human research may be conducted,Structural and functional brain scanning can be performed with Avotec LCD Projection System, Coodination of access to PET and CT scanners for additional preclinical and human imaging studies. Core includes PET radiopharmaceutical core facility. Core staff provide radiochemistry synthesis.
Proper citation: Case Western Reserve University Imaging Research Core Facility (RRID:SCR_017917) Copy
http://www.cti.northwestern.edu/
Core is Northwestern Radiology research facility providing translational imaging capabilities that promote pre-clinical and clinical research efforts. CTI occupies space in basement of Olson building housing imaging equipment along with research staff. Services include Cardiovascular Imaging for development, analysis and application of MRI methods providing insights into structure and function of cardiovascular system,NeuroImaging for functional MRI using spectroscopy and diffusion-weighted imaging to studying human anatomy and physiology during development and disease,Small Animal Imaging for molecular and functional imaging of biological processes in living animal models to study diseases and responses to intervention.
Proper citation: Northwestern University Center for Translational Imaging Core Facility (RRID:SCR_017878) Copy
https://www.preventivemedicine.northwestern.edu/divisions/biostatistics/
Core where division members engage in statistical methods development and application, research design and statistical computing for health science research. Faculty interests encompass Bayesian methods, bioinformatics, causal inference, computational biology, clinical trials, diagnostic testing, longitudinal modeling, missing data modeling, observational data methods, semi-parametric models, spatial modeling, statistical genetics and survival analysis.
Proper citation: Northwestern University Biostatistics Collaborative Center (RRID:SCR_017943) Copy
Portal of NCATS (the National Center for Advancing Translational Sciences) for drug development information including:US approved drugs, marketed drugs, investigational drugs. Provides manually curated data supplied by the FDA and private companies. Provides drugs marketing and regulatory status, drug ingredient definitions, biological activity and clinical use.
Proper citation: Inxight (RRID:SCR_016490) Copy
http://www.depressiontools.org/
Online instrument that estimates whether a biomarker predicting outcome of depression treatment is likely to be clinically significant.
Proper citation: DepressionTools.org Clinical Significance Calculator (RRID:SCR_003873) Copy
http://omniBiomarker.bme.gatech.edu
omniBiomarker is a web-application for analysis of high-throughput -omic data. Its primary function is to identify differentially expressed biomarkers that may be used for diagnostic or prognostic clinical prediction. Currently, omniBiomarker allows users to analyze their data with many different ranking methods simultaneously using a high-performance compute cluster. The next release of omniBiomarker will automatically select the most biologically relevant ranking method based on user input regarding prior knowledge. The omniBiomarker workflow * Data: Gene Expression * Algorithms: Knowledge-Driven Gene Ranking * Differentially expressed Genes * Clinical / Biological Validation * Knowledge: NCI Thesaurus of Cancer, Cancer Gene Index * back to Algorithms
Proper citation: omniBiomarker (RRID:SCR_005750) Copy
http://compbio.charite.de/phenomizer/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on March 31,2026. Phenomizer offers three different approaches to find the appropriate term for a phenotypic abnormality, indicated by the three tabs on the left hand side: Feature, Disease and Ontology. The Phenomizer is intended to be used by qualified and licensed physicians in order to provide assistance in reaching the correct diagnosis in patients with hereditary diseases and for use as a teaching aid. The Phenomizer does not make diagnoses. Rather, it produces a ranked list of possibilities that can be used by physicians as a part of the diagnostic workup. The Phenomizer does not contain information about all possible diagnoses or even all possible hereditary diseases. The Phenomizer should not be used to make medical decisions without the advice of a physician.
Proper citation: Phenomizer (RRID:SCR_006157) Copy
Sciblogs brings together the best science bloggers in the country (New Zealand) on one website, creating a hub for scientific analysis and discussion and facilitating reader interaction. The website is for scientists who want to reach out to a general audience to explain their science and how it relates to society. Some Sciblog contributors spend most of their time in the lab or buried in research. Others are authors or entrepreneurs. All of them know what they are talking about and have an interest in engaging in discussion on the big science-related issues facing society. Over time more bloggers will be added to the Sciblogs roster. If you would like to inquire about hosting a blog on Sciblogs contact us. You can easily keep an eye on new Sciblogs posts by subscribing via RSS or email or by following our Twitter feed. Alternatively, there is a Facebook page as well as a Facebook group feel free to join in! Categories: * Science * Agriculture * Technology * Health and Medicine * Environment and Ecology * Science and Society
Proper citation: Sciblogs (RRID:SCR_005219) Copy
http://www.dbmi.pitt.edu/services/ctma.html
THIS RESOURCE IS NO LONGER IN SERVICE, documented on October 11, 2012. The Clinical Trials Management Tools are Java-based suite (accessed via a secure intranet) for managing various aspects of a clinical trial, research protocols, outcomes initiatives, statistical research analysis, as well as CTEP/CDUS reporting. Developed in collaboration with the Clinical Research Services (CRS) Office at the UPCI, this research-based application provides an integrated tool for managing administrative (e.g. IRB submissions and approvals) and clinical (e.g. tumor measurements, registrations/ screenings) functions for the collection and analysis of data generated from a clinical trial. More information can be found here, http://www.upci.upmc.edu/spore/skin/coreD.cfm
Proper citation: Clinical Trial Management Application (RRID:SCR_013531) Copy
Independent network and system used to collect epidemiological information for clinical research from family paediatricians in Italy. It is based on the transmission of specific data from computerised clinical files. Such data is collected anonymously by a central server in Padua, where it is validated and elaborated.
Proper citation: Pedianet (RRID:SCR_004107) Copy
Site for collection and distribution of clinical data related to genetic analysis of drug abuse phenotypes. Anonymous data on family structure, age, sex, clinical status, and diagnosis, DNA samples and cell line cultures, and data derived from genotyping and other genetic analyses of these clinical data and biomaterials, are distributed to qualified researchers studying genetics of mental disorders and other complex diseases at recognized biomedical research facilities. Phenotypic and Genetic data will be made available to general public on release dates through distribution mechanisms specified on website.
Proper citation: National Institute on Drug Abuse Center for Genetic Studies (RRID:SCR_013061) Copy
https://kidsfirstdrc.org/portal/portal-features/
Portal for analysis and interpretation of pediatric genomic and clinical data to advance personalized medicine for detection, therapy, and management of childhood cancer and structural birth defects. For patients, researchers, and clinicians to create centralized database of well curated clinical and genetic sequence data from patients with childhood cancer or structural birth defects.
Proper citation: Kids First Data Resource Portal (RRID:SCR_016493) Copy
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