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Join us on October 2, 2017, for a one-day workshop on how computational and mathematical modeling can inform the response to the national opioid epidemic. This workshop is co-sponsored by the Public Health Dynamics Laboratory, Graduate School of Public Health.
The CTSI Biomedical Modeling Core's mission is to make computational approaches for prediction accessible and useful to a wide variety of clinical and translational investigators who might not otherwise be aware of or know how to apply them.
The pace of research translation to the clinic and community can improve by implementing modeling at appropriate points of the research spectrum to enhance efficiency and to discover patterns and novel predictions not appreciable without sophisticated biomedical computational approaches. The Biomedical Modeling Core exists to embed modeling in the translational research workflow through communication, collaboration, training, and pilot support of new partnerships.
We strive to introduce translational investigators to the language, rationale, tools, and processes necessary to integrate multiscale biomedical computational modeling into their research. With the breadth of modeling expertise in Pittsburgh alone, modeling training and partnerships can be arranged across the entire translational research spectrum, including molecular modeling (protein dynamics, drug/target interactions), cellular systems biology (genetic regulatory networks, signal transduction pathways), genomic and proteomic association studies, computational pathology, tissue and organ modeling (systems modeling of acute illness, agent-based model, PK/PD simulations), personalized medicine (integration and modeling of multiscale and source patient data to predict disease risk, response to treatment, prognosis, etc.), and public health modeling.
Investigators at the bench, bedside, and community may not currently recognize the benefit of biomedical computational modeling, and many mathematical modelers lack awareness of or access to the copious translational data produced at Pitt. The modeling and translation communities would both benefit from understanding each other’s needs and capabilities.
For more information or to schedule a presentation contact the CTSI Biomedical Modeling Core.