The Duke Funding Alert newsletter, published every Monday, provides information on all new and updated grants and fellowships added to the database during the prior week. This listserv is restricted to members of the Duke community.
Computational Tools for PD Therapeutic Development
The Computational Science Program seeks to enable development of technologies in biomedical computing, informatics, and data science for Parkinsonâ€™s disease (PD) therapeutic development. Funding through this program supports research that will develop improved computational approaches to understand the molecular underpinning of Parkinsonâ€™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
Deadline for Pre-Proposals: May 31, 2017