Clinical-Genomic Study Support
Clinical-Genomic Study Support
The Computational Medicine Center has extensive expertise in integrating and analyzing clinical and genomic data. In addition to our clinical-genomic data repository, we offer tools for storing and analyzing clinical trial data, managing study staff and resources, and modeling diseases and biochemical pathways. If you are interesting in having the center assist with your clinical or genomic research, contact us.
Clinical-Genomic Data Repository
The center is currently developing a centralized clinical-genomic data repository that will facilitate clinical-genomic research by synthesizing supercomputer hardware and custom software. It is funded with a total of $5 million in financial support from Cincinnati Children's Research Foundation and the National Institutes of Health.
Every hour, the system collects clinical and research data from information systems throughout Cincinnati Children's. Once acquired, the data is transferred into a centralized repository where it is reformatted to help ensure security and confidentiality. Clinical and basic science investigators use customized software to pull data out of the repository and analyze it in previously unimaginable ways.
By breaking down long-standing boundaries between health care professionals and molecular scientists, the system makes the goal of improving health more obtainable. Imagine, for example, a physician able to submit a patient's DNA to a lab for analysis, retrieve the lab's report online the instant it is ready and learn before a treatment is started if it will be successful. With this system and other new tools the center helps translate these ideas.
Clinical Trial Management Software
Developed by the Computational Medicine Center and licensed to itCube, one of the center's commercial collaborators, our protocol management system enables researchers to control the scope and accuracy of data collection for clinical studies locally and at multiple centers across the United States.
From subject enrollment to physical exams to specimen collection to lab reports, the system covers many bases of data collection while ensuring complete security and ongoing compliance with regulatory guidelines. Key features of the system include Institutional Review Board consent and adverse event reporting.
Its web-based nature will allow it to be extended to a wide group of users such as those within our Regional Translational Research Center (RTRC) and with other RTRCs nationally.
To learn more about how you can benefit from using this system, view our animated tour or download a fact sheet.
Systems Biology Modeling
Our systems biology modeling tool is designed to enable an expert to assemble a series of clinical scenarios that describe possible disease presentations, etiologies, disease courses, therapies and outcomes for an entire group of patients. From this scenario, the center is constructing a computational system that works like a simulator and helps predict the best therapy for a patient. Next-generation imaging, genetics, and genomics profiling data are used to help make the best decisions. The system allows for mapping of disease processes to physiological, pathological and genetic networks leading to the discovery of new therapies suited precisely for an individual patient.
