The Johns Hopkins Precision Medicine Center of Excellence for Neurofibromatosis

About Our Work

Vision
The generation of a self-sustaining, annotated clinical database supports the development of applications such as a predictive nomogram for people with Neurofibromatosis Type 1 (NF1) developing the rare, but aggressive and hard to diagnose sarcoma, MPNST. Such real-life data-driven predictive models will have tremendous value to patients, caregivers, clinicians and third party payers. Development of data-driven predictive tools for rare diseases like NF1, NF2 and schwannomatosis will also improve the efficiency of clinical therapeutic development via targeted enrollment.

Mission
Improve diagnostic accuracy for people living with NF1, NF2 and schwannomatosis to reduce health insecurity and its associated stress, eliminate unnecessary testing and associated health care spending and improve the speed and accuracy of diagnosis and treatment with the ultimate goal of improving patient outcomes. The NF PMCOE’s first project is to apply existing clinical and genetic data to create predictive models to determine which individuals with NF1 are at high versus low risk for MPNST.