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SCH: AI-Enhanced Multimodal Sensor-on-a-chip for Alzheimer's Disease Detection

Award Number: R01AG077016
ORGANIZATION: NATIONAL INSTITUTE ON AGING
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 09/01/2022
PERIOD OF PERFORMANCE END DATE: 05/31/2026

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SCH: AI-Enhanced Multimodal Sensor-on-a-chip for Alzheimer's Disease Detection - We propose a new research paradigm aimed at addressing scientific questions in both biosensing and machine learning for the early prediction of Alzheimer's disease (AD), and at solving a grand challenge in the identification of minimally-invasive AD biomarkers in tear, saliva, and blood. Our goal is to develop a novel and minimally-invasive system that integrates a multimodal biosensing platform and a machine learning framework, which synergistically work together to significantly enhance the detection accuracy. The program will pioneer a novel Multimodal Optical, Mechanical, Electrochemical Nano-sensor with Twodimensional material Amplification (MOMENTA) platform for sensitive and selective detection of AD biomarkers. The sensor outputs are used for training the new Hierarchical Multimodal Machine Learning (HMML) framework, which not only automatically integrates the heterogeneous data from different modalities but also ranks the importance of different biosensors and biomarkers for AD prediction. Moreover, the framework is able to identify potential new biomarkers based on a statistical analysis of the learned weights on the input signals and provide feedback information to further improve the MOMENTA platform design. This interdisciplinary research brings together materials scientists who create new twodimensional (2D) material platforms for sensor enhancement, nanotechnology and device experts who advance chip-scale sensor platforms, data scientists who analyze data with machine learning methods to target early prediction of AD, and AD experts who help to identify potentially new AD biomarkers. The machine-learning-enhanced multi-modal sensor system will not only offer major performance boost compared to state-of-the-art, but also yield critical insights on new biomarker discovery for AD diagnosis at an early stage.


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: 2025 ( Subtotal = $281,226 )
2025	2025	THE PENNSYLVANIA STATE UNIVERSITY	201 OLD MAIN	UNIVERSITY PARK	PA	16802	CENTRE	USA	Aging Research	001	4	9/5/2025	NON-COMPETING CONTINUATION	$22,958
2025	2025	THE PENNSYLVANIA STATE UNIVERSITY	201 OLD MAIN	UNIVERSITY PARK	PA	16802	CENTRE	USA	Aging Research	000	4	5/14/2025	NON-COMPETING CONTINUATION	$258,268
														Subtotal = $281,226

Issue Date FY: 2024 ( Subtotal = $292,449 )
2024	2024	THE PENNSYLVANIA STATE UNIVERSITY	201 OLD MAIN	UNIVERSITY PARK	PA	16802	CENTRE	USA	Aging Research	000	3	5/16/2024	NON-COMPETING CONTINUATION	$292,449
														Subtotal = $292,449

Issue Date FY: 2023 ( Subtotal = $297,698 )
2023	2023	PENNSYLVANIA STATE UNIVERSITY, THE	201 OLD MAIN	UNIVERSITY PARK	PA	16802	CENTRE	USA	Aging Research	001	2	5/29/2023	NON-COMPETING CONTINUATION	$297,698
2023	2022	PENNSYLVANIA STATE UNIVERSITY, THE	201 OLD MAIN	UNIVERSITY PARK	PA	16802	CENTRE	USA	Aging Research	000	1	4/26/2023	NEW	$0
														Subtotal = $297,698

Issue Date FY: 2022 ( Subtotal = $299,177 )
2022	2022	PENNSYLVANIA STATE UNIVERSITY, THE	201 OLD MAIN	UNIVERSITY PARK	PA	16802	CENTRE	USA	Aging Research	000	1	8/17/2022	NEW	$299,177
														Subtotal = $299,177

Grand Total All Awards = $1,170,550

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SCH: AI-Enhanced Multimodal Sensor-on-a-chip for Alzheimer's Disease Detection

Award Number: R01AG077016

ORGANIZATION: NATIONAL INSTITUTE ON AGING

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

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

PERIOD OF PERFORMANCE START DATE: 09/01/2022

PERIOD OF PERFORMANCE END DATE: 05/31/2026

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