Search DIAN-TU Biospecimen Resource Requests

In order to avoid the situation where two investigators study the same research question, please search our database to determine if your topic has already been studied. If you find that your topic or a related topic has already been submitted, you may wish to contact the investigator to inquire about his/her 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 # (e.g. TU1004), the full request has been submitted and is either approved, disapproved or in process.

Displaying 26 - 36 of 36

Investigator:

Aschenbrenner

Title:

Quantifying the impact of ARIA on cognition measured with computerized testing.

Date of Request:

11/09/2023

Aim 1:

Determine if ARIA produces measurable effects on cognition and quantify the effect size.

Investigator:

jing zhang

Title:

Research on the value of multi-layer network characteristics in the brain of patients with early-onset AD in disease diagnosis

Date of Request:

01/06/2024

Aim 1:

Exploring the changes in multi-layer network characteristics of the brain in patients with early-onset AD

Aim 2:

Explore the value of multi-layer network features in disease diagnosis

Investigator:

NA

Title:

Alzheimer’s Disease Anti-Amyloid Immunotherapies: Imaging Recommendations and Practice Considerations for ARIA Monitoring

Date of Request:

02/06/2024

Aim 1:

Review key MRI sequences for ARIA monitoring

Aim 2:

Provide imaging recommendations for clinical practice

Aim 3:

Highlight role of the radiologist in identifying and communicating ARIA findings

Investigator:

NA

Title:

Alzheimer’s Disease Clinical Trials: What have we learned from magnetic resonance imaging

Date of Request:

02/06/2024

Aim 1:

outline how MRI is used in eligibility and safety monitoring in AD clinical trials

Aim 2:

review use of advanced MR imaging techniques in AD clinical trials

Aim 3:

discuss opportunities for acceleration in MRI trial protocols

Investigator:

Klaus Romero

Title:

Model-informed drug development (MIDD) in Autosomal Dominant Alzheimer's Disease

Date of Request:

05/31/2024

Aim 1:

Our goal is to develop a comprehensive drug-disease-trial model across the entire disease continuum of Autosomal Dominant Alzheimer's Disease (ADAD). The drug-disease trial will serve as the foundation for a clinical trial simulation tool for ADAD

Investigator:

NA

Title:

Disappearing ARIA-H Microhemorrhages

Date of Request:

06/27/2024

Aim 1:

Demonstrate that ARIA-H microhemorrhages may resolve, rather than persist over time

Investigator:

Andrew Aschenbrenner

Title:

Establishing the utility and sensitivity of high-frequency cognitive assessments in Dominantly Inherited Alzheimer Disease.

Date of Request:

06/28/2024

Aim 1:

To quantify the cognitive effects of ADAD mutations, APOE genotype and AD biomarkers using a high-frequency cognitive assessment (HFCA) paradigm, the Ambulatory Research in Cognition (ARC) smartphone application.

Investigator:

Alexandre Bousse

Title:

Plug-and-play PET reconstruction

Date of Request:

09/22/2024

Aim 1:

Enhancing the quality of low-count PET images through a novel reconstruction method

Aim 2:

Reducing patient dose and improving diagnostic

Aim 3:

Proposing an AI-based reconstruction method with theoretical guarantees

Aim 4:

Validation our method on two real patient data

Investigator:

Alexandre Bousse

Title:

Plug-and-play PET reconstruction

Date of Request:

09/24/2024

Aim 1:

Enhancing the quality of low-count PET images through a novel reconstruction method

Aim 2:

Reducing patient dose and improving diagnostic

Aim 3:

Proposing an AI-based reconstruction method with theoretical guarantees

Aim 4:

Validation our method on two real patient data

Investigator:

Jorge J Llibre Guerra

Title:

Developing Predictive and Diagnostic Biomarkers for Amyloid-Related Imaging Abnormalities.

Date of Request:

09/28/2024

Aim 1:

Aim 1: Evaluate the Impact of ARIA on Clinical-Cognitive Performance and Treatment Outcomes.

Aim 2:

Aim 2: Identify Clinical, Genetic, and Biomarker Predictors of ARIA Risk in Alzheimer's Disease.

Aim 3:

Aim 3: Develop Biomarkers for ARIA occurrence and resolution in Alzheimer’s Disease.

Investigator:

Yi Su

Title:

Tracer harmonization for amyloid and tau PET imaging using statistical and deep learning techniques

Date of Request:

09/28/2024

Aim 1:

Explore harmonization of different tau tracers

Aim 2:

Explore harmonization of different tau tracers

Aim 3:

Explore impact of mixing tracers in clinical trials