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Center aiming to be a catalyst for regenerative medicine by facilitating collaboration, supporting research, and promoting awareness of the field. The center includes 15 scientists at five Toronto hospitals, as well as the University of Toronto, currently working to accelerate the development of more effective treatments for conditions such as heart disease, diabetes, respiratory disease and spinal cord injury. They collaborate with many other research institutions throughout North America, Europe and the Asia / Pacific region. The research is powered by a team of recent doctoral graduates recruited from around the world that are selected through a competitive process. They are a critical tool for supporting the work of McEwen Centre, allowing them to find medical breakthroughs faster.
A consortium evaluating a new biomarker screening test that might help identify patients with rheumatoid arthritis (RA) who are unlikely to benefit from anti-tumor necrosis factor-alpha (TNFalpha) medications. BATTER-UP will enroll around 1,000 patients being treated by one of several marketed anti-TNF RA drugs: Enbrel, Remicade, Humira, Simponi, or Cimzia. Through data analyses and predictive response modeling, the consortium aims to better understand which patients with RA will derive the greatest benefit from TNF inhibitors. The investigators in this observational study will attempt to validate an 8-gene biomarker set based on work by Biogen Idec researchers as likely to predict anti-TNF responsiveness in patients with RA. In preliminary results, the 8-gene biomarker set predicted with 89% accuracy individuals who did not reach European League Against Rheumatism (EULAR) Disease Activity Score (DAS)-28 good response after 14 weeks of treatment. The 8 genes included in the screen are CLTB, MXRA7, CXorf52, COL4A3BP, YIPF6, FAM44A, SFRS2, and PGK1. Biological samples and clinical outcome information will be used to confirm and extend the utility of previously published biomarkers that can predict response to anti-TNF agents. These data may also generate new hypotheses for further testing. The BATTER-UP samples and data will be established as a reference set for investigation of personalized medicine in RA. The study will be a resource of DNA and other biological materials that can be investigated for biomarkers in the future as new technologies arise.
Project to facilitate the construction of a Data Discovery Index. The data discovery index (DDI) is to do for data what PubMed (and PubMed Central) did for the literature. Biomedical researchers and healthcare institutions should be enabled to share their data in a way that advances science and protects privacy. They will find ways to facilitate structuring, discovery, and accessing of data without requiring people to understand complex standards that only a few specialized groups can decipher. bioCADDIE will pursue the following aims: # Provide ease in finding accessible data of interest according to disease, data modality (e.g., imaging, molecular measurements), and/or demographics through simple and intuitive computer interfaces that allow quick ranking, visualization, and summarization of data resources - this requires methods for automated indexing (i.e., creation of metadata), tools that allow free text searches, accessibility tools that decode consent requirements, etc. # Assist data producers on how to publish data for maximal discoverability and assessment of impact of disseminated data through data citation networks; and # Train data producers and data users in relevant tools related to biomedical data sharing. This will be done through online resources, workshops, and dissemination of best practices through publication of articles about data discovery in different venues (a) scholarly publications, and (b) lay press news articles.
Foundation that gives grants in Canada for the benefit of Canadians and directs its resources to specific organizations in Education, Land Conservation and Science in Canada''s North. In addition, it provides funds to further Canada''s research in neuroscience. These programs are director-initiated and the Foundation therefore does not accept applications for funding. By law, the Foundation is only able to support Canadian charities that are registered with the Canadian Revenue Agency. These charities must have a CRA charitable number and offer programs benefiting Canadians in Canada.
Canadian granting agency to address the existing translational funding gap in neurodegenerative research of the aging population with a goal of accelerating the development of therapeutics and to encourage innovation in the granting process. To achieve this they address gaps and inefficiencies in the funding market by supporting high-risk, high-reward projects independent of commercial potential, while leveraging world-class business and scientific expertise to build a fast and flexible granting process. The Weston Brain Institute is committing up to $10 million in funding across Canada, each year, through various programs and partnerships. The Weston Brain Institute has ongoing collaborative relationships with the Alzheimer's Drug Discovery Foundation - Canada, Brain Canada, the Michael J. Fox Foundation, as well as a group of scientific advisors chaired by Dr. Andres Lozano.
Consortium that launched a Request for Applications (RFA) to stimulate analyses across the Alzheimer's disease (AD) and Parkinson's disease (PD) research enterprises to engage in further data analysis of existing cohorts, including, but not limited to, biomarker discovery, standardization of assays, genetic profiles, and imaging modalities. The RFA aims to build on existing momentum to leverage similar activities and increase impact across the neurodegenerative disease spectrum. It also builds on recent evidence suggesting substantial overlap between AD, PD, and other neurodegenerative diseases pathologically, but also potentially biologically. The RFA is designed to enable preliminary pilot research or proof-of-principle studies utilizing data and/or samples from two large biomarker studies, the Alzheimer's Disease Neuroimaging Initiative (ADNI) and the Parkinson's Progression Markers Initiative (PPMI), in order to garner further research support from other funding agencies. Application Deadline: March 19, 2014. Efforts under BAND include studies that: * analyze datasets to test hypotheses related to aging and neurodegenerative disorders; * seek to identify panels or pathways that may play a role in disease mechanisms, such as around inflammation; * pursue shared or disparate biochemical markers of disease risk, onset or progression; * assess potential commonalities across the disease spectrum, including around other neurological disorders such as Lewy body dementia. Recent data reported at the 2013 Alzheimer's Association's International Conference stimulated discussion in the research community about the possible cross talk between AD and PD. For example, underlying pathologies / biomarkers, such as cerebrospinal fluid (CSF) alpha-synuclein, have been measured in the sample sets collected for both diseases to help understand similarities and differences in these diseases. Furthermore, similar imaging modalities, such as MRI and PET, are being employed to interrogate changes that occur with disease progression. As therapeutic approaches are developed that may be disease-modifying for several neurodegenerative diseases, stratification of clinical trial populations based on biomarker profiles may increase the probability of success in demonstrating a beneficial effect.
Consortium of pharmaceutical companies and clinical research organizations, plus one regional association, that are pooling their resources to deliver quality training courses for clinical research professionals in the Asia Pacific region. The collaborative training initiatives aim to resolve issues of redundant and duplicate trainings, less than optimal class sizes and lower than ideal training frequencies, all of which are prevalent in the region. ATC also hopes to significantly enhance the number and quality of professionals to meet the resource demands of the globalized industry. The first target audience would be clinical trial investigators and clinical trial management staff - with priorities provided to clinical trial associates, clinical trial project managers, and clinical research managers. As of 2014, 900 days of ATC courses have been taught in classrooms throughout Asia. The ATC''s Foundations of Clinical Project Management is a regularly offered in Shanghai and is available on-line in English and Mandarin.
A cross-platform software that estimates gene/isoform expression level via mRNA-Seq data. SeqExpress exams the Sequencing bias in mRNA-Seq and correct it to get more accurate estimation.
A searchable data catalog that facilitates researchers'' access to large datasets available either publicly or through institutional or individual licensing. Dataset records include information about the content of the dataset, how to access the dataset, and local experts within NYULMC and NYU to assist in the use of these datasets. The data catalog will expand to include internally generated datasets from NYULMC and NYU in the near future. Use the contact form if you are interested in submitting a dataset to the data catalog.
A database that contains information about EORTC (European Organisation for Research and Treatment of Cancer) clinical trials but also clinical trials from other organizations, in which EORTC has been/is participating. The protocol database may be browsed by EORTC Research Group, tumor site, treatment, or drug.
Consortium aiming to accelerate the development of systems for automated control of blood glucose in patients with diabetes. Consortium investigators seek to research and develop strategies, which can be commercialized, that will confer the long-term benefits of improved glycemic control by combining novel automated control algorithms and hormone therapies with continuous glucose monitors and pump devices. The field of closed-loop artificial pancreas research requires expert diabetologists partnering with expert mathematicians and engineers. Consortium investigators include endocrinologists and control theorists at research institutions in the US and in Europe. Many of the diabetes device manufacturers have also participated, providing pumps and sensors with enhanced capabilities that allow for closed-loop experiments to be performed. The goals of the consortium include: * Design, optimization, and clinical testing of multiple algorithmic approaches to closed-loop control * An in silico simulation platform, accepted by the FDA, for validating candidate closed-loop control algorithms in place of animal trials * Reusable templates for constructing the Investigational Device Exemption regulatory documents that must be approved by the FDA prior to any in-clinic, computer-assisted, closed-loop control research involving people * A modular software platform-the Artificial Pancreas System-with a protocol-independent user interface and hooks to incorporate an arbitrary control algorithm and control various continuous glucose monitors and pump devices * A secure consortium Web site with a central repository for experimental data and interfaces to submit candidate control algorithms for centralized validation and to upload or download clinical data sets * the first outpatient studies of an overnight controller * the first outpatient studies of a hypoglycemia minimization strategy * the development and testing of a modular treat-to-range closed-loop approach * multiple studies of dual hormone (insulin and glucagon) devices and a means to improve insulin kinetics Ongoing and recently completed in-clinic studies at the end of 2011 include investigations into hypoglycemia prediction and avoidance as well as fully-automated closed-loop control investigations using MPC and PID/PD-based algorithms. The most recent developments include the first-ever feasibility trials of portable, outpatient-based closed-loop control systems.
Consortium aiming to identify the remaining genetic risk variants for Age-related Macular Degeneration (AMD). To increase the statistical power needed to identify genes that have small, yet significant contributions to AMD, the consortium is conducting a meta-analysis on 15 Genome Wide Association Studies (GWAS) pooled from consortium members representing over 8,000 patients with advanced AMD (dry type, neovascular, or both) and 50,000 controls. In addition to verifying known genes, the consortium identified 19 new gene variants. The genes identified in these studies function in the immune system, cholesterol transport and metabolism, and formation and maintenance of connective tissue. This study provides a nearly complete picture of genetic heritability for AMD.
A nonprofit ocular research center with the largest eye bank in the world that provides eye tissue for research and transplantation to ophthalmic specialists and surgeons nationwide. They empower researchers to conduct real-time studies of healthy and diseased ocular tissue leading to a greater understanding of the events that lead to blindness. Their mission is to improve visual outcomes and quality of life for those who are blind or visually impaired through innovative ocular endeavors.
A consortium aiming to facilitate the development and implementation of new treatments for Alzheimer's disease by collectively addressing obstacles to research and development, clinical care and public health education. The Roundtable convenes twice each year for a two-day presentation and discussion of specific topics within Alzheimer's research. Topics are selected from a list proposed and voted on by members. Roundtable members explore a broad range of Alzheimer's science topics, including: * New data and technologies that may improve the diagnosis of Alzheimer's disease, especially in its earliest and mildest stages. * Neuropsychological testing, genetic factors, and biochemical and neuroimaging biomarkers that could contribute to an earlier and more accurate Alzheimer's diagnosis. * Lessons learned about clinical trial design that may help shape future clinical trials of drugs aimed at slowing or stopping the progression of Alzheimer's. * The pros and cons of various scales as outcomes measures of clinical trials. The outputs of Roundtable meetings are published as articles in the Alzheimer's Association's journal, Alzheimer's & Dementia. The Research Roundtable also sponsors Alzheimer's Association grants. The chosen project is named Research Roundtable Sponsored Grant and the principal investigator of the project is invited to give a progress report at a Roundtable meeting.
Consortium to develop novel in vitro predictive screening tools and in vivo translational models and biomarkers to improve adverse drug reaction (ADR) hazard identification. This project studies the metabolic effects of eight drugs (among which are paracetamol and diclofenac ) with known side effects in the liver. By looking into the mechanics on a level ranging from the molecule to the patient, the researchers in this project aim to find biomarkers and develop tools for the early prediction of side effects of drugs. One of the breakthroughs in the project is the discovery that a person''''s genetic profile appears to be one of the mechanics that have an influence on the resistance to adverse drug reactions. The ability to identify adverse effects in an early stage will prevent much discomfort in patients and economic loss. Several PhD theses have been written from this project.
Ontology to organise a 2009 set of over 200 NHS quality indicators from different sources. Relationships between indicators, a basic set of inclusion / exclusion criteria, clinical pathway, clinical code and purpose (per 1992 Institute of Medicine, originally intended to categorise clinical guidelines) are identifies and made searchable.
Consortium to conduct genome-wide association studies (GWAS) to identify genes associated with an increased risk of developing late-onset Alzheimer''''s disease (LOAD). The goal of the ADGC is to identify genetic variants associated with risk for AD. It plans to do this through the following collaborative goals: # Identify genes responsible for AD susceptibility # Identify AD sub-phenotype genes rate-of-progression plaque / tangle load / distribution biomarker variability # Generate a genetic data resource for the AD research community Data generated by ADGC is available at the following website: https://www.niagads.org/content/alzheimers-disease-genetics-consortium-adgc-collection
A public-private partnership with the United States Food and Drug Administration (FDA) to identify, prioritize, sponsor, coordinate, and promote innovative activities - with a special interest in optimizing clinical trials - that will expedite the discovery and development of improved analgesic, anesthetic, and addiction medications and to more generally accelerate the development of treatments with improved efficacy and safety. This multi-year, multi-phase initiative is closely aligned with the FDA''''s Critical Path Initiative. The key objectives of ACTTION involve initiating and supporting strategic collaborations among a broad spectrum of stakeholders - including, but not limited to, academia, the FDA and other government agencies, industry, professional organizations, patient advocacy groups, foundations, and philanthropic organizations - with the goals of sharing data and innovative thinking about the development of novel therapeutics. These strategic collaborations involve a wide range of research projects and other activities, for example, scientific workshops, consensus meetings, and in-depth analyses of clinical trial data to determine the effects of research methods on study assay sensitivity and efficiency. ACTTION launched an initiative to develop training materials for clinical trial subjects (and staff) to be used with pain rating scales and other pain-related patient reported outcomes. Once materials have been developed and evaluated, proof-of-concept trials will be conducted to test the hypothesis that patient and staff training can improve the assay sensitivity of analgesic trials.
Repository to host data and tools associated with articles published by GigaScience & GigaByte journals. GigaDB defines a dataset as a group of files (e.g., sequencing data, analyses, imaging files, software programs) that are related to and support an article or study. Through their association with DataCite, each dataset will be assigned a DOI that can be used as a standard citation for future use of these data in other articles by the authors and other researchers. Datasets in GigaDB all require a title that is specific to the dataset, an author list, and an abstract that provides information specific to the data included within the dataset. Detailed information about the dataset is curated by dedicated biocurators in collaboration with the article authors at the time of publication of the associated manuscript to ensure full transparency and reproducibility of all journal articles published in GigaScience and GigaByte journals.
An independent, not-for-profit consortium to accelerate research, and improve treatment for patients affected with the most commonly-diagnosed cancers in Asia by generating a genomic data resource for the most prevalent cancers in Asia. ACRG is focusing its initial efforts on Asian liver, gastric and lung cancers. Goals * Generate comprehensive genomics data sets for Asia-prevalent cancers * Conduct all research under good clinical practices and in accordance with local laws * Uncover key mutations and pathways for developing targeted therapies * Discover molecular tumor classifiers for patient stratification * Discover prognostic markers to identify high-risk patients * Freely share resulting raw data with scientific community to empower researchers globally and enable development of new diagnostics and medicines * Publish data analysis results jointly in prominent scientific journals Over the next two years, Lilly, Merck and Pfizer have committed to create an extensive pharmacogenomic cancer database that will be composed of data from approximately 2,000 tissue samples from patients with lung and gastric cancer that will be made publicly available to researchers and, over time, further populated with clinical data from a longitudinal analysis of patients. Comparison of the contrasting genomic signatures of these cancers could inform new approaches to treatment. Lilly has assumed responsibility for ultimately providing the data to the research public through an open-source concept managed by Lilly''''s Singapore research site. Moreover, Lilly, Merck and Pfizer will each provide technical and intellectual expertise. One dataset can be found at http://gigadb.org/dataset/100034