The Knight ADRC has supported many investigators at Washington University and at other institutions over the years. We wish to avoid the situation where two investigators study the same research question to avoid duplication of effort and potential conflict. To determine if your topic has already been studied with our resources, please search our database. If you find that your topic or a related topic has been submitted, you may wish to contact the investigator to inquire about their findings to determine how you might proceed. You may wish to collaborate or modify your request to avoid overlap. The results below reflect requests made since online requests have been accepted. As such, not all fields will have data as certain information, such as aims, were not collected until recently. If an entry has been assigned an ID number (e.g. T1004), the full request has been submitted and is either approved, disapproved or in process. If an entry has no ID number, then it represents a submission that has not yet been reviewed. Search terms are applied across an entire requests application including variables not displayed below. A more specific, detailed search may yield better results depending upon your needs.
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Investigator: Tue Te
Project Title: Advancing Early Detection of Mild Cognitive Impairment and Dementia through Digital Biomarkers
Date: February 5, 2026 at 6:55 pm
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Aim 1: Develop machine learning models using voice/speech features to detect distinguish MCI from normal cognitive function in older adults.
Aim 2: : Describe associations between voice features and objective and subjective sleepiness in older adults.
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Investigator: Keith Hengen
Project Title: Proximity to Criticality as a Predictive Biomarker in Alzheimer’s Disease
Date: January 26, 2026 at 11:11 am
Request ID: D2606
Aim 1: Aim 1: Establish criticality as a cross-sectional biomarker of cognitive capacity across the AD spectrum.
Aim 2: Aim 2: Test criticality as a predictive biomarker of disease progression.
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Investigator: dehao yang
Project Title: 机器学习模型筛选出的特征变量预测AD风险
Date: January 23, 2026 at 10:07 am
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Aim 1: 用两步MR寻找AD风险变量进行特征筛选，再运用机器学习模型进行模型构建，放入ADNI进行验证，最后用GBD数据进行AD风险的预测。机器学习特征变量预测AD已有一些研究，但是使用GBD数据库预测全球风险的文章现在并没有，有一定新颖性
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Investigator: Melissa Hatch
Project Title: Sleep and Alzheimer’s Disease: Exploring Differences in Race/Ethnicity and the Impact of Neurobiology and Cardiovascular Disease
Date: January 14, 2026 at 6:07 pm
Request ID: D2605
Aim 1: To identify relationships between midpoint of sleep and cognitive outcomes across racial/ethnic groups.
Aim 2: To evaluate the role of brain morphometry, functional connectivity, and cardiovascular disease risk in relationships between midpoint of sleep and cognitive outcomes across racial/ethnic groups.
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Investigator: Nan Lin
Project Title: Collaborative Quantile Causal Inference under Distributional Shift: Methods for Multi-Site Health Data
Date: January 14, 2026 at 5:26 pm
Request ID: D2604
Aim 1: Benchmark metformin’s quantile treatment effects in centralized NACC data and regional ADRCs.
Aim 2: Develop a distributionally robust collaborative QTE estimation framework.
Aim 3: Validate and disseminate the framework using ADRC cohorts.
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Investigator: Meijian Wang
Project Title: Age-related Mitochondrial Protein Alterations in Auditory Neurons and Their Correspondence to Human CSF/plasma proteins
Date: January 14, 2026 at 7:54 am
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Aim 1: To cross-validate the age-related differential proteins identified in mouse auditory neurons with human CSF/plasma.proteins
Aim 2: To evaluate the potential of candidate proteins as biomarkers for age-related auditory system changes, as reflected in human CSF/Plasma.
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Investigator: Rachel Nosheny
Project Title: Development of the vCDR
Date: January 13, 2026 at 11:54 am
Request ID: D2603
Aim 1: UCSF is collaborating with the Knight ADRC to develop the voice Clinical Dementia Rating (vCDR), a self-administered and automatically scored version of the Clinical Dementia Rating (CDR), which is administered by a generative Artificial Intelligence (genAI) powered conversational agent.
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Investigator: Chihiro Sato
Project Title: Age- and Alzheimer’s disease-dependent mechanism in tau kinetics
Date: January 7, 2026 at 3:06 pm
Request ID: D2602
Aim 1: To identify pathway(s) that shift tau kinetics during natural aging and AD
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Investigator: Lina Zhu
Project Title: Multi-modal Biomarkers and Predictive Modeling of Cognitive Resilience in Alzheimer’s Disease
Date: December 31, 2025 at 8:13 am
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Aim 1: To identify multi-modal biomarkers associated with cognitive resilience.
Aim 2: To explore genetic contributors via GWAS and integrate them with omics data.
Aim 3: To develop and validate a machine learning model for predicting resilience and cognitive decline.
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Investigator: WenDiao
Project Title: Disease staging of Alzheimer’s disease using a CSF-based biomarker model
Date: December 27, 2025 at 12:18 am
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Aim 1: Advancements in imaging technologies and fluid biomarkers now enable precise in vivo tracking of AD pathological changes, moving beyond sole reliance on clinical symptoms. While numerous studies have explored AD heterogeneity at the macroimaging level, pathological accumulation may take years or eve
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