Dartmouth SYNERGY Clinical and Translational Science Institute
Institute for Quantitative Biomedical Sciences at Dartmouth College (iQBS)
Norris Cotton Cancer Center (NCCC)
The Dartmouth Institute for Health Policy and Clinical Practice (TDI)
The Quantitative Biology Research Institute
Bioinformatics Service Center
Center for Genomic Medicine
Dartmouth Center of Cancer Nanotechnology Excellence (DCCNE)
Informatics Collaboratory for Design, Development and Dissemination (ic3d)
NIAMS Multidisciplinary Clinical Research Center (MCRC)
The mission of SYNERGY is to create a sustainable academic and physical home at Dartmouth for the discipline of clinical and translational science. SYNERGY's vision is to foster discovery, improve the infrastructure for clinical and translational science, nurture cross-disciplinary collaborative spirit, enhance translational research training, and facilitate the development of innovative and efficient solutions for translating scientific discoveries into practice and improved population health.
The Institute for Quantitative Biomedical Sciences (iQBS) at Dartmouth College was established in July of 2010 to develop, advance and support interdisciplinary education, research and infrastructure in the quantitative biomedical sciences including bioengineering, bioinformatics, biophysics, biostatistics, computational biology, genomics, epidemiology, proteomics, structural biology, systems biology and related areas. iQBS is supported by funds from Dartmouth College, the Geisel School of Medicine and an $11 million Center of Biomedical Research Excellence (COBRE) grant from the Institutional Development Award (IDeA) program of the National Institute for General Medical Sciences (grant P20 GM103534).
Dartmouth-Hitchcock Norris Cotton Cancer Center provides the highest level of innovative, compassionate care for our patients, and contributes to solving the problems of cancer worldwide through research, new treatments, clinical trials, prevention, and community engagement.
The Dartmouth Institute for Health Policy and Clinical Practice (TDI) is home to an internationally renowned group of investigators in the area of health policy, practice variation, quality improvement, shared decision making, and population research. TDI offers two master's-level degrees (an MS and an MPH) and a PhD degree in health services research. It also houses and maintains NCPH and The Dartmouth Atlas, which has provided pioneering data and resources on regional variation in health care utilization, spending, and quality across the U.S.
The Quantitative Biology Research Institute supports and enhances quantitative biology research across northern New England (Maine, New Hampshire, and Vermont) and facilitates its integration and synergy with experimental and observational biology.
- fosters meaningful collaborations with experimental biologists, improving the ability of investigators in the region to compete for funding
- recruits talented tenure-track quantitative biologists to the region
- mentors the development of junior quantitative biologists across the region
- promotes synergistic collaborations between quantitative biologists and experimental biologists through research projects
The BioInformatics Service Center provides the backbone computational tools, databases and domain expertise that facilitates modern biomedical, biological and genomic research.
Our areas of focus are Cancer Registries (research), Clinical Trials and Prevention Studies and Genomics and Proteomics bioinformatics.
- Develop, implement and maintain systems which facilitate high-quality data management for Dartmouth and Dartmouth-affiliated research
- Develop new and reusable techniques in research computing which increase efficiency, ensure data integrity and security, and reduce research costs
- Provide high-quality technical assistance and user support to our researchers and user base
- Make our resource available to researchers in the community requiring consultation or programming assistance
- Consult with new studies to help investigators plan wisely to meet their study’s informatics needs
Genomic and other profiling technologies will lead to significant improvements in the diagnosis and treatment of disease. The Center for Genomic Medicine will provide a broad level of support for profiling patient samples, for the interpretation of findings, and for the design of studies related to personalized medicine. Functions: Profiling patient samples – the center will serve as resource for identifying and developing tests, facilitate access by researchers to samples and data, by fostering biobanking activities and supporting data capture. The center will work with geneticists to identify and curate family information to support research on new screening and prevention procedures for very high risk individuals. Interpretation of Findings – the Center will develop and implement novel procedures for annotation from genomic and next generation profiling procedures. Design of Studies – The Center will assist investigators to develop studies relevant to personalized medicine activities. Functions include the design of clinical trials allowing for individual disease characteristics such as according to tumor mutations or pharmacogenetic profiles. The Center will also provide assistance in the design of population based studies that seek to identify individual causes for disease.
DCCNE places Dartmouth among top centers in cancer nanotechnology research nationwide and takes full advantage of Dartmouth's culture of cross-disciplinary collaboration. CCNEs are tasked with integrating nanotechnology into basic and applied cancer research in order to provide new solutions for the diagnosis and treatment of cancer using magnetic nanoparticles to destroy malignant tumors.
The mission of the Informatics Collaboratory for Design, Development and Dissemination (ic3d), or the Informatics Collaboratory, is to design, develop, and disseminate informatics tools, from proposal planning through fielded solutions. The Informatics Collaboratory provides expertise in data mining, database and knowledge modeling, data management, data visualization, collaborative systems, lifecycle software development, user experience design, and user research.
Research on the comparative effectiveness of musculoskeletal treatment options is conducted through the NIAMS Multidisciplinary Clinical Research Center (MCRC). The overall goal of MCRC is to improve musculoskeletal outcomes for patients with musculoskeletal disease and injury. By taking advantage of cross-disciplinary collaborations, the MCRC is committed to improve the prevention, diagnosis, and treatment of musculoskeletal conditions that burden our aging populations’ health and the economy.
Eugene Demidenko, Ph.D. directs the Biostatistics, Data Analysis, and Computation (BDAC) Core for the Dartmouth Center of Cancer Nanotechnology Excellence (DCCNE). The BDAC Core provides state-of-the-art quantitative data analysis, physical modeling and numerical methods support to the DCCNE projects. Data analyses will focus on the characterization of magnetic nanoparticle properties, quantifying their distribution in tissue and assessing their treatment effect in animal experiments. Statistical considerations will require sophisticated and advanced techniques, including methods for spatial statistics and treatment of multidimensional sources of variation (e.g., variation in time from sample to sample and treatment response from individual to individual). BDAC Core personnel will work closely with project leaders to formulate criteria for validating models through statistical hypothesis testing and optimal design of experiments to achieve statistical significance.
The core will also employ physical modeling and numerical methods in an effort to understand the electromagnetic interactions that occur when magnetic nanoparticles (having different physical properties) are placed in an alternating magnetic field in biological environments and, hence, investigate the impact that biological parameters (e.g., blood flow) are expected to have on the ability to increase tumor temperatures locally.
The primary mission of the Bioinformatics Shared Resource is to support the implementation of bioinformatics resources for cancer research at Dartmouth. Our goal is to provide expert consultation and collaboration for research projects of NCCC members. The Bioinformatics Shared Resource also strives to educate members of the community in different aspects of computational biology by providing regular workshops and seminars.
We provide a wide range of different services including applied bioinformatics and data mining, computer programming and software engineering, database development and programming and high-performance computing and systems administration. We look forward to helping you plan, execute, analyze and interpret your next biomedical research study.
The Biostatistics Shared Resource (BSR) provides scientific interpretation for all statistical analyses. All initial consultations are free. More extensive efforts may require additional funding depending on how much time is required.
The GeoSpatial Section provides expert consultation and collaboration for research projects in behavior, epidemiology, health services and other disciplines. (see link below), The primary mission of the Biostatistics Shared Resource is to improve the statistical aspects of cancer research at Dartmouth by providing expert statistical collaboration for research projects of Cancer Center members. Because every aspect of cancer research involves data, all research programs potentially may require the participation of the BSR. Areas of special faculty expertise include clinical trial design, longitudinal data, statistical methods for genomics and managing data, measurement error methods, nonlinear dose response modeling, quality of life data, decision sciences, cost effectiveness analysis, and diagnostic test assessment.
Faculty and staff offices are located on the 8th floor of the Rubin building at Dartmouth-Hitchcock Medical Center (DHMC). The BSR maintains an extensive statistical software library providing access to all major statistical analysis platforms. Server and network access are provided through Cancer Center administration, DHMC, and Dartmouth College. The BSR collaborates closely with other shared resources for project development and monitoring through the Office of Clinical Research, and the Integrative Biology and Experimental and Translational Models Shared Resources.
The Biomedical Informatics Core (BIC) offers clinical and translational investigators support on informatics tools for cohort discovery, data integration, data management, text mining and visual analytics. In addition, the BIC provides consultative services on integration of data systems and on procedures for research data security.
The Biostatistics Consultation Core (BCC) provides essential statistical and quantitative methods support to Dartmouth investigators, helping to remove impediments to initiating new clinical translational research programs for young physicians and other scientists. When possible, standardized methods will be used for common designs and analyses. However, the BCC will adopt and apply new techniques as appropriate and form templates that can be easily adapted to new projects, such as specialized power calculations for designs involving measurement error, for which the BCC has developed specialized software.