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http://purl.bioontology.org/ontology/EMAP

A structured controlled vocabulary of stage-specific anatomical structures of the mouse (Mus).

Proper citation: Mouse Gross Anatomy and Development Ontology (RRID:SCR_003891) Copy   

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https://www.pharmatching.com/

A matchmaker portal for the pharmaceutical industry worldwide offering a directory and contact platform. This includes a database of ten thousands of profiles of companies offering pharma services as well as a selection of companies including niche providers delivering the service of interest. The platform is used to search for human medicinal products, veterinary medicinal products, cosmeceuticals, nutriceuticals, medical devices, and diagnostics. The company''s platform also enables users to post their service requests, service offers, and APIs/intermediates; and interact with other users. In addition, it offers advice and operational support services for outsourcing and inlicensing processes, such as strategic, scientific, and regulatory advice related to due diligence and decision making of research and development, sourcing, and M and A processes; conduct of third party GMP and pharmacovigilance audits; customized interim solutions; and qualified person functions for GMP and pharmacovigilance. The company also serves various sectors of the life science industry, such as contract manufacture, laboratory investigations and contractual testing, clinical research organizations and pre-clinical research organizations, consulting and legal counseling, logistics and distribution, education, marketing, IT, and investment and financing sectors; and small and medium enterprises/pharma, academic, public institutions, and freelancers. (Bloomberg Businessweek)

Proper citation: Pharmatching (RRID:SCR_003897) Copy   

•   Source: SciCrunch Registry

http://www.esi.com/

A high technology company that is a developer and supplier of photonic and laser systems for microelectronics manufacturers. They manufacture a variety of products for testing and repairing equipment, and particularly products designed for use by manufacturers of other high-tech products. These include laser trimming systems. (Adapted from Wikipedia)

Proper citation: Electro Scientific Industries (RRID:SCR_003895) Copy   

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http://www.inserm-transfert.fr/en/

A private subsidiary of the French National Institute of the Health and Medical Research (Inserm), dedicated to technology transfer (from invention disclosure to industrial partnership). It manages European and International research projects, supports large scale projects in epidemiology and public health. It has run a proof of concept fund. The company is also committed to seed financing in the biotech sector, through its dedicated seed fund company Inserm Transfert Initiative. www.inserm-transfert.fr

Proper citation: Inserm Transfert (RRID:SCR_003808) Copy   

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http://www.transformproject.eu/portfolio-item/d6-2-clinical-research-information-model/

A clinical research information model for the integration of clinical research covering randomized clinical trials (RCT), case-control studies and database searches into the TRANSFoRm application development. TRANSFoRm clinical research is based on primary care data, clinical data and genetic data stored in databases and electronic health records and employs the principle of reusing primary care data, adapting data collection by patient reported outcomes (PRO) and eSource based Case Report Forms. CRIM was developed using the TRANSFoRm clinical use cases of GORD and Diabetes. Their use case driven approach consisted of three levels of modelling drawing heavily on the clinical research workflow of the use cases. Different available information models were evaluated for their usefulness to represent TRANSFoRm clinical research, including for example CTOM of caBIG, Primary Care Research Object Model (PRCOM) of ePCRN and BRIDG of CDISC. The PCROM model turned out to be the most suitable and it was possible to extend and modify this model with only 12 new information objects, 3 episode of care related objects and 2 areas to satisfy all requirements of the TRANSFoRm research use cases. Now the information model covers Good Clinical Practice (GCP) compliant research, as well as case control studies and database search studies, including the interaction between patient and GP (family doctor) during patient consultation, appointment, screening, patient recruitment and adverse event reporting.

Proper citation: TRANSFoRm Clinical Research Information Model (RRID:SCR_003889) Copy   

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http://co.mbine.org/standards/miase

A set of guidelines (community effort) suitable for use with any structured format for simulation experiments to identify the Minimal Information About a Simulation Experiment necessary to enable the reproducible simulation experiments. The Guidelines list the information that a modeller needs to provide to enable the execution and reproduction of a numerical simulation experiment, derived from a given set of quantitative models. MIASE is designed to help modelers and software tools to exchange their simulation settings and to foster collaboration. In 2011, he MIASE guidelines were accepted by researchers from 19 different institutes.

Proper citation: Minimum Information About a Simulation Experiment (RRID:SCR_003800) Copy   

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http://www.transformproject.eu/

Project to develop a ''rapid learning healthcare system'' driven by advanced computational infrastructure that can improve both patient safety and the conduct and volume of clinical research in Europe. Three carefully chosen clinical ''use cases'' will drive, evaluate and validate the approach to the ICT (information and communications technology) challenges. The project will build on existing work at international level in clinical trial information models (BRIDG and PCROM), service-based approaches to semantic interoperability and data standards (ISO11179 and controlled vocabulary), data discovery, machine learning and electronic health records based on open standards (openEHR). TRANSFoRm will extend this work to interact with individual eHR systems as well as operate within the consultation itself providing both diagnostic support and support for the identification and follow up of subjects for research. The approach to system design will be modular and standards-based, providing services via a distributed architecture, and will be tightly linked with the user community. Four years of development and testing will end with a fifth year that will be dedicated to summative validation of the project deliverables in the Primary Care setting. In order to support patient safety in both clinical and research settings, significant ICT challenges need to be overcome in the areas of interoperability, common standards for data integration, data presentation, recording, scalability, and security., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: TRANSFoRm (RRID:SCR_003888) Copy   

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http://www.predect.eu/

Project that aims to create more appropriate in vitro platforms for target validation and drug discovery for breast, prostate and lung cancers. Laboratory platforms to validate whether target modulation would provide a clinical benefit are usually highly reductionist, often using long-established cell lines growing in 2 dimensions in vitro. These models do not reflect the complexity and heterogeneity of a tumor in situ, where biochemical pathways are wired with connections to the complex tumor environment provided by the stroma. PREDECT has the goal of comparing the pathological and molecular profiles of novel in vitro platforms with those of human tumors. Because obtention of clinical material presents both logistics and quality problems for ongoing and intense studies of target validation, PREDECT aims to use material from genetically engineered mouse models, and some advanced xenografts, whose pathology and molecular profiles closely match cohorts of human tumors. PREDECT hopes to provide more appropriate in vitro platforms both for target validation and subsequent preclinical studies which will replace a current cascade of tests which are poorly predictive of clinical activity. The project is expected to shift paradigms in cell biology as well as in preclinical target validation where it should permit greater predictivity of drug efficacy in patient cohorts.

Proper citation: PREDECT (RRID:SCR_003883) Copy   

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http://www.alzheimer-europe.org/Research/PharmaCog

Project aiming to tackle bottlenecks in Alzheimer''''s disease research and drug discovery by developing and validating new tools to test candidate drugs for the treatment of symptoms and disease in a faster and more sensitive way. They will provide the tools needed to define more precisely the potential of a drug candidate, reduce the development time of new medicines and thus accelerate the approvals of promising new medicines. By bringing together databases of previously conducted clinical trials and combining the results from blood tests, brain scans and behavioral tests, the scientists will develop a ''''signature'''' that gives more accurate information on the progression of the disease and the effect of candidate drugs than current methods do. The scientists will conduct parallel studies in laboratory models, healthy volunteers and patients in order to better predict good new drugs as early as possible. This will enable them, for instance, to find out how memory loss in Alzheimer''''s disease can be simulated in healthy volunteers, for example with sleep deprivation or drugs that temporarily affect the memory, in order to test the effect of candidate-medicines early in the drug development process.

Proper citation: PharmaCog (RRID:SCR_003878) Copy   

•   Source: SciCrunch Registry

https://sites.google.com/site/p2tconsortium/

A three-member pharmaceutical industry consortium that aims to provide a new platform to improve access to information about clinical trials for patients and providers. The platform aims to enhance the existing clinicaltrials.gov by providing more detailed and patient-friendly information about available trials and embedding a machine-readable target health profile to improve the ability of healthcare software to match individual health profiles with applicable clinical trials. Using clinicaltrials.gov as its foundation and Eli Lilly''''s Application Programming Interface (API), the consortium is focused on creating an open platform to make this data more amenable to patients and providers, as well as creating an opportunity to integrate a patient''''s electronic health record into the clinical trial matching service. This feature will allow patients to search for trials using their own Blue Button data. The following features are planned add-ons to clinicaltrials.gov: * Target Profile is a machine readable query, that can be executed against an electronic file (or record) with patient health data such as an Electronic Health Record (EHR), an Electronic Medical Record (EMR) or Personally Controlled Health Record (PCHR) * Augmented Content is public, IRB approved information about the study that has not been published on clinicaltrials.gov, and that is shared with / targeted for patients with a matching Target Profile. The following are the incremental goals of the consortium: * Advancement of the Lilly API platform to support read/write interaction and additional data objects and information. * The initial 3 sponsor organizations - Lilly, Pfizer and Novartis - will upload Target Profiles for a select set of clinical trials. A Target Profile is a machine interpretable description of the characteristics of patients who may qualify for that trial i.e. a query that can be executed against a patient''''s electronic health record or personal health record. Additionally, sponsors of clinical research studies will also be able to upload Augmented Content to the Lilly Platform to supplement information on clinicaltrials.gov with additional, patient-focused information about the study, e.g., a study brochure and practical information on how to contact investigational sites. * A matching service, developed by Corengi, will compare Target Profiles to a de-dentified personally controlled health record (PCHR), represented by patient''''s Blue Button Plus CCDA XML document. * Integration into a patient community platform from Avado for providing the patient PCHR and presenting the results of the match service. The patient will be able to explore the respective matching studies for additional information and next steps such as contacting a nearby investigator clinic or hospital. The first demo of the prototype was made available on June 2014, built on a database of anonymized patient health records from different clinical research studies sponsored by Lilly, Novartis, and Pfizer. Other website: http://portal.lillycoi.com/

Proper citation: Patients to Trials Consortium (RRID:SCR_003877) Copy   

•   Source: SciCrunch Registry

http://www.chevron.com/

An American multinational energy corporation headquartered in San Ramon, California, and active in more than 180 countries, that is engaged in every aspect of the oil, gas, and geothermal energy industries, including exploration and production; refining, marketing and transport; chemicals manufacturing and sales; and power generation. Chevron is one of the world's largest oil companies; as of 2013, it ranked third in the Fortune Global 500-2014 list of the world's largest companies. (Adapted from Wikipedia)

Proper citation: Chevron Corporation (RRID:SCR_003794) Copy   

•   Source: SciCrunch Registry

http://www.criver.com/

Commercial organism provider selling mice, rats and other model animals. American corporation specializing in a variety of pre-clinical and clinical laboratory services for the pharmaceutical, medical device and biotechnology industries. It also supplies assorted biomedical products and research and development outsourcing services for use in the pharmaceutical industry. (Wikipedia)

Proper citation: Charles River Laboratories (RRID:SCR_003792) Copy   

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http://www.bioreliance.com/

Company that provides testing and manufacturing services to pharmaceutical and biopharmaceutical companies that span the product cycle from early pre-clinical development to licensed production.

Proper citation: BioReliance (RRID:SCR_003791) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/MSTDE-FRE

Metathesaurus Version of Minimal Standard Terminology Digestive Endoscopy, French Translation, 2001

Proper citation: Minimal Standard Terminology of Digestive Endoscopy - French (RRID:SCR_003830) Copy   

•   Source: SciCrunch Registry

http://www.antilope-project.eu/

Consortium focused on making electronic health data more interoperable, both within and outside of Europe, with the intention to create, validate, and disseminate standard methods to test and certify electronic health solutions and services. In particular it will: Drive the adoption of recognized sets of profiles and underlying standards for eHealth interoperability, and improve the impact of the EU and International eHealth standards development process; Define and validate testing guidelines and common approaches on Interoperability Labelling and Certification processes at European and at National / Regional level. Four work packages were created to provide guidelines, recommendations and frameworks based on a set of use cases, related profiles and standards, Interoperability Quality Management System, testing guidelines and Certification process. All the deliverables will be presented for validation and promotion by organizing workshops across Europe.

Proper citation: Antilope Project (RRID:SCR_003829) Copy   

•   Source: SciCrunch Registry

http://www.selleckchem.com/

An Antibody supplier

Proper citation: Selleck Chemicals LLC (RRID:SCR_003823) Copy   

•   Source: SciCrunch Registry

http://www.bioclinica.com/

Pennsylvania-based company supporting pharmaceutical and medical device innovation with imaging core lab, EDC, IVR / IWR, CTMS, and supply chain forecasting and optimization. Its initial service was medical imaging for clinical trials. It is used to capture, collect, control quality, provide blinded reading services to the final delivery to the sponsor company and to the FDA or EMEA if required for medical images in a wide range of imaging modalities. (Wikipedia)

Proper citation: BioClinica (RRID:SCR_003789) Copy   

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http://www.musc.edu/

Public medical school in Charleston, South Carolina. Opened in 1824 as small private college aimed at training physicians. One of the oldest continually operating schools of medicine in the United States and the oldest in the Deep South.

Proper citation: Medical University of South Carolina; South Carolina; USA (RRID:SCR_003828) Copy   

•   Source: SciCrunch Registry

http://www.europeanlung.org/en/projects-and-research/projects/airprom/

Consortium focused on developing computer and physical models of the airway system for patients with asthma and chronic obstructive pulmonary disease (COPD). Developing accurate models will better predict how asthma and COPD develop, since current methods can only assess the severity of disease. They aim to bridge the gaps in clinical management of airways-based disease by providing reliable models that predict disease progression and the response to treatment for each person with asthma or COPD. A data management platform provides a secure and sustainable infrastructure that semantically integrates the clinical, physiological, genetic, and experimental data produced with existing biomedical knowledge from allied consortia and public databases. This resource will be available for analysis and modeling, and will facilitate sharing, collaboration and publication within AirPROM and with the broader community. Currently the AirPROM knowledge portal is only accessible by AirPROM partners.

Proper citation: AirPROM (RRID:SCR_003827) Copy   

•   Source: SciCrunch Registry

http://www.quretec.com/

Commercial organization that builds software for collection, management, and analysis of complex data, most typical in biomedical domain. The solutions are generic and can be used for multitude of uses and application domains.

Proper citation: Quretec (RRID:SCR_003826) Copy   

•   Source: SciCrunch Registry