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SCH: New Advanced Machine Learning Framework for Mining Heterogeneous Ocular Data to Accelerate

Award Number: R01EB034116
ORGANIZATION: NATIONAL INSTITUTE Of BIOMEDICAL IMAGING & BIOENGINEERING
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 07/15/2022
PERIOD OF PERFORMANCE END DATE: 03/31/2027

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SCH: New Advanced Machine Learning Framework for Mining Heterogeneous Ocular Data to Accelerate - Vision loss is among the top 10 causes of disability in the U.S in adults over the age of 18 and one of the most common disabling conditions in children. The major ocular diseases are caused by the retinal chronic progressive neurodegeneration and unfortunately are irreversible and incurable, thus the early diagnosis of ocular diseases is crucial for clinician to provide retinoprotection. Recent advances in ophthalmological imaging and high throughput genotyping and sequencing techniques provide exciting new opportunities to ultimately improve our understanding of ocular diseases, their genetic architecture, and their influences on endophenotype and function. However, existing studies of genetics and retinal images are only conducted separately, wasting the opportunity to explore the interplay between genetics and retinal images. Therefore, there is a critical need for new machine learning and scientific advances to reveal genetic basis of retinal imaging endophenotypes and to synergize genetics and imaging for understanding disease progression. We propose to conduct the novel retinal imaging genetics research to integratively study both retinal images and genetic data for automated ocular disease diagnosis and prognosis, genetic association study of endophenotype, and disease progression prediction. Our group has performed pioneering research on retinal genetics, prediction, and image analysis, therefore we are in a unique position to achieve these goals. Specifically, we will investigate the following aims: 1) build efficient data integration models to integrate retinal imaging genetics data from multiple sources; 2) develop knowledge guided learning models for identifying nonlinear associations among high-dimensional retinal imaging genetics data; 3) detect the longitudinal interrelations in retinal data utilizing temporal deep learning model; 4) new robust fair metric learning model to unify the disease prediction and fair metric selection; 5) apply and validate the proposed machine learning methods to large-scale retinal imaging genetics data from multiple independent cohorts. The successful completion of this proposal will produce cutting-edge machine learning tools to facilitate automated disease diagnosis and accurate long-term prediction of disease development and progression trajectory, which will enhance the early prevention and current clinical management of the disease and will provide insights for novel precision treatment development.


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: 2026 ( Subtotal = $300,000 )
2026	2026	UNIVERSITY OF MARYLAND, COLLEGE PARK	3112 LEE BUILDING	COLLEGE PARK	MD	20742	PRINCE GEORGES	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	001	4	6/15/2026	NON-COMPETING CONTINUATION	$300,000
2026	2024	UNIVERSITY OF MARYLAND, COLLEGE PARK	3112 LEE BUILDING	COLLEGE PARK	MD	20742	PRINCE GEORGES	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	000	3	5/22/2026	CHANGE OF GRANTEE / TRAINING INSTITUTION / AWARDING INSTITUTION	$0
														Subtotal = $300,000

Issue Date FY: 2025 ( Subtotal = $0 )
2025	2024	UNIVERSITY OF MARYLAND, COLLEGE PARK	3112 LEE BUILDING	COLLEGE PARK	MD	20742	PRINCE GEORGES	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	001	3	6/25/2025	CHANGE OF GRANTEE / TRAINING INSTITUTION / AWARDING INSTITUTION	$0
2025	2023	UNIVERSITY OF PITTSBURGH - OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION	4200 FIFTH AVENUE	PITTSBURGH	PA	15260	ALLEGHENY	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	000	2	2/14/2025	NON-COMPETING CONTINUATION	$0
														Subtotal = $0

Issue Date FY: 2024 ( Subtotal = $300,000 )
2024	2024	UNIVERSITY OF MARYLAND, COLLEGE PARK	3112 LEE BUILDING	COLLEGE PARK	MD	20742	PRINCE GEORGES	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	003	3	8/29/2024	CHANGE OF GRANTEE / TRAINING INSTITUTION / AWARDING INSTITUTION	$0
2024	2024	UNIVERSITY OF MARYLAND, COLLEGE PARK	3112 LEE BUILDING	COLLEGE PARK	MD	20742	PRINCE GEORGES	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	002	3	8/27/2024	CHANGE OF GRANTEE / TRAINING INSTITUTION / AWARDING INSTITUTION	$300,000
2024	2023	UNIVERSITY OF PITTSBURGH - OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION	4200 FIFTH AVENUE	PITTSBURGH	PA	15260	ALLEGHENY	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	000	2	8/26/2024	NON-COMPETING CONTINUATION	$0
2024	2022	UNIVERSITY OF PITTSBURGH - OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION	4200 FIFTH AVENUE	PITTSBURGH	PA	15260	ALLEGHENY	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	001	1	8/27/2024	NEW	$0
														Subtotal = $300,000

Issue Date FY: 2023 ( Subtotal = $300,000 )
2023	2023	UNIVERSITY OF PITTSBURGH - OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION	4200 FIFTH AVENUE	PITTSBURGH	PA	15260	ALLEGHENY	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	000	2	3/31/2023	NON-COMPETING CONTINUATION	$300,000
														Subtotal = $300,000

Issue Date FY: 2022 ( Subtotal = $300,000 )
2022	2022	UNIVERSITY OF PITTSBURGH, THE	4200 5TH AVE	PITTSBURGH	PA	15260	ALLEGHENY	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	001	1	8/10/2022	NEW	$0
2022	2022	UNIVERSITY OF PITTSBURGH, THE	4200 5TH AVE	PITTSBURGH	PA	15260	ALLEGHENY	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	000	1	7/14/2022	NEW	$300,000
														Subtotal = $300,000

Grand Total All Awards = $1,200,000

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SCH: New Advanced Machine Learning Framework for Mining Heterogeneous Ocular Data to Accelerate

Award Number: R01EB034116

ORGANIZATION: NATIONAL INSTITUTE Of BIOMEDICAL IMAGING & BIOENGINEERING

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

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

PERIOD OF PERFORMANCE START DATE: 07/15/2022

PERIOD OF PERFORMANCE END DATE: 03/31/2027

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