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http://code.google.com/p/omrse/
An ontology covering the domain of social entities that are related to health care, such as demographic information (social entities for recording gender (but not sex) and marital status, for example) and the roles of various individuals and organizations (patient, hospital, etc.)
Proper citation: Ontology of Medically Related Social Entities (RRID:SCR_003439) Copy
Initiative to improve health by speeding up the development of, and patient access to, innovative medicines, particularly in areas where there is an unmet medical or social need. It does this by initiating and managing consortia composed of the key players involved in healthcare research, including universities, the pharmaceutical and other industries, small and medium-sized enterprises (SMEs), patient organizations, and medicines regulators. IMI is a public-private partnership between the European Union and the European pharmaceutical industry, represented by the European Federation of Pharmaceutical Industries and Associations (EFPIA), with a timeframe separated into two phases (2008-2013, 2014-2024) that are each defined by unique research agendas. The first phase (2008 2013) had four pillars that defined the focus of its research agenda: * Predicting safety: evaluating the safety of a compound during the pre-clinical phase of the development process and the later phases in clinical development. * Predicting efficacy: improving the ability to predict how a drug will interact in humans and how it may produce a change in function. * Knowledge management: utilization of information and data for predicting safety and efficacy. * Education and training: closing existing training gaps in the drug development process. Some of the consortia managed under IMI focused on specific health issues while others focused on broader challenges in drug development. Additionally, IMI launched a number of education and training projects during its first phases. The goal of the second phase (IMI2, 2014-2024) is to develop next generation vaccines and drugs. The focus is on delivering the right prevention and treatment for the right patient at the right time. There is a strong focus on the development of new medicines with an emphasis on tools and methods that accelerate patient access to new medicines. IMI2's agenda can be defined by four axes of research: * target validation and biomarker research (efficacy and safety) * adoption of innovative clinical trial paradigms * innovative medicines * patient-tailored adherence programs As part of its distinct goals, IMI2 aims to deliver: * 30% better success rate in clinical trials of priority medicines identified by the WHO; clinical proof of concept in immunological, respiratory, neurological and neurodegenerative diseases in five years; * new and approved diagnostic markers for four of these diseases and at least two new medicines which could either be new antibiotics or new therapies for Alzheimer's disease.
Proper citation: Innovative Medicines Initiative (RRID:SCR_003754) Copy
A consortium that focuses their efforts on discovering and developing new pharmaceutical drugs, vaccines (both preventive and therapeutic) and diagnostics against the infectious diseases that are prevalent in developing countries. The initial targets are those disorders designated by WHO as neglected tropical diseases prevalent in developing nations. The consortium aims to facilitate international partnerships that enable Japanese technology, innovations, and insights to play a more direct role in improving global health. Another goal of GHIT is to develop a new drug-discovery screening platform to assist the screening of compound libraries housed within Japanese companies and academic institutions. The vision is to have Japanese research organizations donate compounds, with the Fund reimbursing screening costs and leveraging screening programs of existing product-development partners.
Proper citation: Global Health Innovative Technology Fund (RRID:SCR_003753) Copy
http://purl.bioontology.org/ontology/MEDDRA
Ontology of Medical Dictionary for Regulatory Activities Terminology (MedDRA)
Proper citation: Medical Dictionary for Regulatory Activities (RRID:SCR_003751) Copy
http://www.coca-colacompany.com/
An American multinational beverage corporation and manufacturer, retailer and marketer of nonalcoholic beverage concentrates and syrups, which is headquartered in Atlanta, Georgia. (Wikipedia) It is the world's largest beverage company, refreshing consumers with more than 500 sparkling and still brands.
Proper citation: Coca-Cola Company (RRID:SCR_003749) Copy
http://www.sevenhillsbioreagents.com/
An Antibody supplier
Proper citation: Seven Hills Bioreagents (RRID:SCR_003748) Copy
http://ims.cochrane.org/revman/about-revman-5
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 5, 2023.A software package that does meta-analysis and provides results in tabular format and graphically., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: RevMan (RRID:SCR_003581) Copy
An Antibody supplier
Proper citation: Torrey Pines Biolabs (RRID:SCR_003580) Copy
A not-for-profit research and development laboratory focused on the design, development, and deployment of advanced technological solutions for the nation's most challenging and important problems in security, space exploration, healthcare, and energy. Their expertise includes the areas of guidance, navigation, and control systems; fault-tolerant computing; advanced algorithms and software solutions; modeling and simulation; and MEMS and multichip module technology. With a strong commitment to delivering working solutions to their sponsors, they apply their expertise to a variety of domains, including autonomous air, land, sea, and space systems; information integration; distributed sensors and networks; precision-guided munitions; and biomedical engineering; chemical/biological defense; and energy system modeling and management. When appropriate for the needs of their sponsors, they will work with commercial partners to transition their technology to commercial production.
Proper citation: Charles Stark Draper Laboratory (RRID:SCR_003736) Copy
http://bioinformatics.bc.edu/marthlab/wiki/index.php/PyroBayes
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 6, 2023. A base caller for pyrosequences from the 454 Life Sciences sequencing machines.
Proper citation: PyroBayes (RRID:SCR_003757) Copy
Commercial organization developing a disruptive, proprietary technology platform for the direct, electronic analysis of single molecules. The instruments GridION and MinION are adaptable for the analysis of DNA, RNA, proteins, small molecules and other types of molecule. Consequently, the platform has a broad range of potential applications, including scientific research, personalized medicine, crop science and security / defence.
Proper citation: Oxford Nanopore Technologies (RRID:SCR_003756) Copy
Urinary kidney biomarkers (KIM-1, albumin, total protein, 2-microglobulin, cystatin C, clusterin and trefoil factor-3) that are considered acceptable biomarkers for the detection of acute drug-induced nephrotoxicity in rats and can be included along with traditional clinical chemistry markers and histopathology in toxicology studies. These biomarkers may be used voluntarily as additional evidence of nephrotoxicity in nonclinical safety assessment studies to complement the standard data (BUN and sCr). In ROC analyses, some of these biomarkers showed better sensitivity and specificity than BUN and sCr relative to histopathological alterations considered to be the gold standard when tested with a limited number of nephrotoxicant and control compounds.
Proper citation: PSTC Nephrotoxicity Biomarkers (RRID:SCR_003709) Copy
Private research university located in the Boston suburb of Waltham, Massachusetts. Founded in 1948 as a non-sectarian, coeducational institution sponsored by the Jewish community, Brandeis was established on the site of the former Middlesex University.
Proper citation: Brandeis University; Massachusetts; USA (RRID:SCR_003669) Copy
An application focused ontology modelling the experimental factors in ArrayExpress and Gene Expression Atlas. It has been developed to increase the richness of the annotations that are currently made in the ArrayExpress repository, to promote consistent annotation, to facilitate automatic annotation and to integrate external data. The ontology describes cross-product classes from reference ontologies in area such as disease, cell line, cell type and anatomy. The methodology employed in the development of EFO involves construction of mappings to multiple existing domain specific ontologies, such as the Disease Ontology and Cell Type Ontology. This is achieved using a combination of automated and manual curation steps and the use of a phonetic matching algorithm. The ontology is evaluated with use cases from the ArrayExpress repository and ArrayExpress Atlas. You may also browse the EFO in the NCBO Bioportal. Term submissions are welcome.
Proper citation: Experimental Factor Ontology (RRID:SCR_003574) Copy
http://genome.sph.umich.edu/wiki/RAREMETAL
A software program that facilitates the meta-analysis of rare variants from genotype arrays or sequencing.
Proper citation: RAREMETAL (RRID:SCR_003573) Copy
http://code.google.com/p/adverse-event-reporting-ontology/
An ontology aimed at supporting clinicians at the time of data entry, increasing quality and accuracy of reported adverse events.
Proper citation: Adverse Event Reporting Ontology (RRID:SCR_003571) Copy
http://www.nitrc.org/projects/ccsegthickness
An end-to-end pipeline for corpus callosum processing that provides automated midsagittal alignment, CC segmentation with a quality control tool, and thickness profile generation. Groupwise analysis is facilitated by permutation testing with FWER and FDR multiple comparison correction. Results display is facilitated by a display script that shows p-values on a 3D pipe representation of a CC. This pipeline is implemented in MATLAB and requires the Image Processing Toolbox. There are plans to implement it completely in Python.
Proper citation: Corpus Callosum Thickness Profile Analysis Pipeline (RRID:SCR_003575) Copy
http://purl.bioontology.org/ontology/MDCDRG
Ontology of Medical Diagnostic Categories-Diagnosis Related Groups
Proper citation: Medical Diagnostic Categories - Diagnosis Related Groups (RRID:SCR_003725) Copy
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