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SCH: Enabling Data Outsourcing and Sharing for AI-powered Parkinson's Research

Award Number: R01LM014027
ORGANIZATION: NATIONAL LIBRARY OF MEDICINE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 09/03/2021
PERIOD OF PERFORMANCE END DATE: 05/31/2026

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SCH: Enabling Data Outsourcing and Sharing for AI-powered Parkinson's Research - Artificial intelligence holds the promise of transforming data-driven biomedical research and computational health informatics for more accurate diagnosis and better treatment at lower cost. In the meantime, modern digital and mobile technologies make it much easier to collect information from patients in large scale. While “big” medical data offers unprecedented opportunities of building deep-learning artificial neural network (ANN) models to advance the research of complex diseases such as Parkinson’s disease (PD), it also presents unique challenges to patient data privacy. The task of training and continuously refining ANN models with data from tens of thousands of patients, each with numerous attributes and images, is computation-intensive and time-consuming. Outsourcing such computation and its data to the cloud is a viable solution. However, the problem of performing the ANN learning operations in the cloud, without the risk of leaking any patient data from their distributed sources, remains open to date. This application proposes to develop novel data masking technologies based on randomized orthogonal transformation to enable AI-computation outsourcing and data sharing, with the following two specific aims: 1) Perform two experimental studies of training ANN models with data masking in the HiperGator cloud for PD prediction and Parkinsonism diagnosis; 2) establish the theoretical foundation on data privacy, inference accuracy, and training performance of the ANN models used in the experimental studies. The interdisciplinary project team combines the expertise from data privacy, biomedical informatics, machine learning, and cloud computing to develop data outsourcing and sharing technologies for AI-powered PD research. The proposed research will remove a major roadblock that restricts medical data accessibility and hinders cloud-based operations of deep-learning artificial neural networks for biomedical research. The outcome is expected to have a broader impact beyond PD research in advancing the theory and implementation of cloud-based medical studies with data privacy protection.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2024 ( Subtotal = $286,976 )
2024	2024	UNIVERSITY OF FLORIDA	1523 UNION RD RM 207	GAINESVILLE	FL	32611	ALACHUA	USA	Medical Library Assistance	000	4	6/4/2024	NON-COMPETING CONTINUATION	$286,976
														Subtotal = $286,976

Issue Date FY: 2023 ( Subtotal = $292,087 )
2023	2023	UNIVERSITY OF FLORIDA	1523 UNION RD RM 207	GAINESVILLE	FL	32611	ALACHUA	USA	Medical Library Assistance	000	3	4/25/2023	NON-COMPETING CONTINUATION	$292,087
														Subtotal = $292,087

Issue Date FY: 2022 ( Subtotal = $575,615 )
2022	2022	UNIVERSITY OF FLORIDA	1523 UNION RD RM 207	GAINESVILLE	FL	32611	ALACHUA	USA	Medical Library Assistance	001	2	8/15/2022	SUPPLEMENT FOR EXPANSION	$281,290
2022	2022	UNIVERSITY OF FLORIDA	1523 UNION RD RM 207	GAINESVILLE	FL	32611	ALACHUA	USA	Medical Library Assistance	000	2	5/16/2022	NON-COMPETING CONTINUATION	$294,325
														Subtotal = $575,615

Issue Date FY: 2021 ( Subtotal = $298,653 )
2021	2021	UNIVERSITY OF FLORIDA	1523 UNION RD RM 207	GAINESVILLE	FL	32611	ALACHUA	USA	Medical Library Assistance	000	1	9/3/2021	NEW	$298,653
														Subtotal = $298,653

Grand Total All Awards = $1,453,331

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SCH: Enabling Data Outsourcing and Sharing for AI-powered Parkinson's Research

Award Number: R01LM014027

ORGANIZATION: NATIONAL LIBRARY OF MEDICINE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 09/03/2021

PERIOD OF PERFORMANCE END DATE: 05/31/2026

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