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Leveraging Clinical Data for Phenotyping and Predictive Modelling of Alzheimer’s Disease

Award Number: F30AG079504
ORGANIZATION: NATIONAL INSTITUTE ON AGING
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: FELLOWSHIP/SCHOLARSHIP/STUDENT LOANS
PERIOD OF PERFORMANCE START DATE: 08/01/2022
PERIOD OF PERFORMANCE END DATE: 07/31/2026

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Leveraging Clinical Data for Phenotyping and Predictive Modelling of Alzheimer’s Disease - PROJECT SUMMARY/ABSTRACT Alzheimer’s Disease (AD) is a complex and heterogeneous neurodegenerative disorder, with numerous molecular and phenotypic features (e.g., sex) that have been identified as modifiers of disease risk, resilience, and progression. While single-omic (e.g. genomic or transcriptomics) contributions to the variability observed in AD have been studied, there have not been many integrative approaches to holistically understand precise mechanisms that link molecular pathways with clinical manifestations. With the abundance of longitudinal multi- modal clinical data (e.g., UCSF electronic medical records) and the development of integrative knowledge networks that link known relationships across multi-omic modalities (e.g., Scalable Precision Medicine Oriented Knowledge Engine), there is an untapped opportunity to derive further insights into the disease. I hypothesize that by utilizing integrative knowledge network representations on clinical datasets, I can characterize AD heterogeneity and apply predictive modelling to identify potential clinical and molecular features associated with AD risk, subtypes, and sex-specific differences. In Aim 1, I will characterize Alzheimer’s Disease heterogeneity through association analysis and utilization of unsupervised machine learning approaches. In Aim 2, I will develop predictive modelling approaches for identifying clinical and molecular features associated with AD progression. With this approach, I will aim to elucidate potential disease mechanisms underlying heterogeneous clinical manifestations, allowing for improved patient stratification and personalized therapeutic approaches. To pursue this project, I have the support of my sponsor Dr. Marina Sirota, an expert in integrative computational approaches and machine learning methods on clinical and omics data. I will also receive mentorship and support from my collaborators Dr. Sergio Baranzini, an expert in integrative networks and multi-omics integration, Dr. Kate Rankin, an exceptional and leading expert in neurodegeneration characterization, and Dr. Dena Dubal, an exceptional physician-scientist and expert in neurodegeneration sex-differences and resilience. Through this work, I will develop a variety of expertise across integrative computational and multi-disciplinary approaches that will allow for meaningful contributions to improve AD diagnosis and treatment and ultimately strengthen my training as an aspiring physician-scientist.


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 = $54,538 )
2025	2025	REGENTS OF THE UNIVERSITY OF CALIFORNIA, SAN FRANCISCO, THE	1855 FOLSOM ST STE 425	SAN FRANCISCO	CA	94103	SAN FRANCISCO	USA	Aging Research	000	4	8/4/2025	NON-COMPETING CONTINUATION	$54,538
														Subtotal = $54,538

Issue Date FY: 2024 ( Subtotal = $53,974 )
2024	2024	REGENTS OF THE UNIVERSITY OF CALIFORNIA, SAN FRANCISCO, THE	1855 FOLSOM ST STE 425	SAN FRANCISCO	CA	94103	SAN FRANCISCO	USA	Aging Research	000	3	8/8/2024	NON-COMPETING CONTINUATION	$53,974
														Subtotal = $53,974

Issue Date FY: 2023 ( Subtotal = $39,624 )
2023	2023	REGENTS OF THE UNIVERSITY OF CALIFORNIA, SAN FRANCISCO, THE	1855 FOLSOM ST STE 425	SAN FRANCISCO	CA	94143	SAN FRANCISCO	USA	Aging Research	000	2	6/15/2023	NON-COMPETING CONTINUATION	$39,624
														Subtotal = $39,624

Issue Date FY: 2022 ( Subtotal = $38,451 )
2022	2022	REGENTS OF THE UNIVERSITY OF CALIFORNIA, SAN FRANCISCO, THE	1855 FOLSOM ST STE 425	SAN FRANCISCO	CA	94143	SAN FRANCISCO	USA	Aging Research	001	1	7/25/2022	NEW	$0
2022	2022	REGENTS OF THE UNIVERSITY OF CALIFORNIA, SAN FRANCISCO, THE	1855 FOLSOM ST STE 425	SAN FRANCISCO	CA	94143	SAN FRANCISCO	USA	Aging Research	000	1	7/25/2022	NEW	$38,451
														Subtotal = $38,451

Grand Total All Awards = $186,587

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Leveraging Clinical Data for Phenotyping and Predictive Modelling of Alzheimer’s Disease

Award Number: F30AG079504

ORGANIZATION: NATIONAL INSTITUTE ON AGING

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: FELLOWSHIP/SCHOLARSHIP/STUDENT LOANS

PERIOD OF PERFORMANCE START DATE: 08/01/2022

PERIOD OF PERFORMANCE END DATE: 07/31/2026

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