[ JDRF - Identification of Areas of Artificial Pancreas Algorithm Enhancements Through Bid-Data Analysis | Research funding ]
Event details
Date | 28.11.2018 |
Category | Call for proposal |
Aim: JDRF is committed to advancing the effectiveness and usability of artificial pancreas (AP) systems to treat type 1 diabetes (T1D). One focus area addressing both of these objectives is to improve the AP algorithm, which doses insulin autonomously based—mostly—on readings from a continuous glucose monitor and records of previously delivered insulin. JDRF challenges applicants to help understand how much better next-generation algorithms might be if researchers/developers leverage a large real-world data set from which to glean insights and identify areas for AP algorithm enhancements. With the ultimate goal of developing therapies/products for commercialization in the future, proposals are sought from academic or non-academic organizations with serious intentions to use a provided set of “big data” to:
1) Help elucidate relationships/learnings with actionable recommendations that could be incorporated into next-generation AP algorithms, and/or
2) Develop or improve mathematical constructs that may be incorporated into next-generation AP algorithms.
JDRF will make available a large real-world data set provided by Tidepool via their Big Data Donation Project, appropriately de-identified, for researchers/developers to use to achieve the above objectives. Data from at least 100 unique individuals with T1D (and possibly hundreds more) will be available.
Duration: 12 months
Funding: $200,000
Eligibility: Applications may be submitted by non-academic domestic and foreign for-profit and non-profit organizations, public and private. Academic applicants must hold an M.D., D.M.D., D.V.M., Ph.D., or equivalent and have a faculty position or equivalent at a college, university, medical school, or other research facility. Applications from for-profit entities or industry collaborations with academia may be submitted to this RFP; however, additional information will be requested from for-profit entities if awarded a grant. There are no citizenship requirements for this program.
How to Apply: A full proposal is submitted via the online platform RMS360. A proposal template can be found there, and includes sections on the research plan, publication/translation plan, budget, and biosketches for investigators.
Deadline, Full Application: 28-Nov-2018
Further information
1) Help elucidate relationships/learnings with actionable recommendations that could be incorporated into next-generation AP algorithms, and/or
2) Develop or improve mathematical constructs that may be incorporated into next-generation AP algorithms.
JDRF will make available a large real-world data set provided by Tidepool via their Big Data Donation Project, appropriately de-identified, for researchers/developers to use to achieve the above objectives. Data from at least 100 unique individuals with T1D (and possibly hundreds more) will be available.
Duration: 12 months
Funding: $200,000
Eligibility: Applications may be submitted by non-academic domestic and foreign for-profit and non-profit organizations, public and private. Academic applicants must hold an M.D., D.M.D., D.V.M., Ph.D., or equivalent and have a faculty position or equivalent at a college, university, medical school, or other research facility. Applications from for-profit entities or industry collaborations with academia may be submitted to this RFP; however, additional information will be requested from for-profit entities if awarded a grant. There are no citizenship requirements for this program.
How to Apply: A full proposal is submitted via the online platform RMS360. A proposal template can be found there, and includes sections on the research plan, publication/translation plan, budget, and biosketches for investigators.
Deadline, Full Application: 28-Nov-2018
Further information
- More information about the program is available here
- The application portal RMS360 can be found here
- For any other questions, please contact the Research Office
Practical information
- General public
- Free