The Computational Science Program seeks to enable development of technologies in biomedical computing, informatics, and data science for Parkinson’s disease (PD) therapeutic development. Funding through this program supports research that will develop improved computational approaches to understand the molecular underpinning of Parkinson’s disease that would ultimately lead to: biomarker detection, improving clinical outcome measures, and target identification.
The specific goals of this initiative are to facilitate development of new analytical models or technologies to enable 1) robust forecasting of pathological progression or phenoconversion for PD 2) improved clinical outcome measures for use in therapeutic trials and/or 3) understanding of disease mechanism. Proposed computational approaches should produce reliable outcomes that facilitate making of objective decisions to improve the ability to enrich subject populations in clinical trials and/or determine whether experimental treatments are modifying the course of the disease, its symptoms or its progression.
MJFF aims to support development of computational tools to facilitate production of novel biomedical measures relevant to defining PD. The following disciplines of computational methods are encouraged:
- Data processing functions to allow for enhanced analysis efficiency
- Multi-modal statistical and computational methods
- Maximum amount: $150,000
- Maximum duration: 1 year
- Full details regarding the Computational Tools for PD Therapeutic Development Grant
- Funding Opportunities Informational Webinar – registration
Submitting Your Application
- Applications must be submitted via cuResearch, through which Departmental and Associate Dean’s approval must be provided to complete the online application process.
- More information on cuResearch can be found here.
If you would like assistance with proposal development and/or a substantive review of your proposal, please contact the appropriate Research Facilitator.