# Identification of Potential Drug-drug Interactions in Alzheimer's Disease Patients

> **NIH NIH R03** · UNIVERSITY OF SOUTH FLORIDA · 2020 · $74,750

## Abstract

Project Summary
 A drug-drug interaction (DDI) occurs when one drug influences the level or activity of another drug.
There is a big risk of DDI in Alzheimer’s disease (AD) patients. However, information about potential DDIs
occur in AD patients is still lacking in clinical databases. In this proposal, we will develop and evaluate efficient
computational models that can identify potential DDIs from the records in FDA Adverse Event Reporting
System (FAERS), the largest drug post-marketing surveillance database in the world. Approximately 9 million
ADE records from FAERS (from 2004 to 2019) will be analyzed. Several data mining algorithms, multi-item
Gamma Poisson shrinkage (MGPS), Bayesian Confidence Propagation Neural Network (BCPNN), and
association rule will be applied to detect DDI signals from these reports. The effects of some confounding
factors (such as age, race, gender, and dosage) on DDIs will be also investigated using multivariate logistic
regression. The DDIs identified by the computational model will be validated through a retrospective analysis of
electronic health records (EHRs) of AD patients at the Byrd Alzheimer's Institute at the University of South
Florida (USF). In addition, a web server, AD_DDI, will be developed to provide public access to the prediction
model and results. The successful completion of this project will provide useful information for doctors or
pharmacists to prescribe drugs for AD patients more appropriately.

## Key facts

- **NIH application ID:** 10109561
- **Project number:** 1R03AG070536-01
- **Recipient organization:** UNIVERSITY OF SOUTH FLORIDA
- **Principal Investigator:** Feng Cheng
- **Activity code:** R03 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $74,750
- **Award type:** 1
- **Project period:** 2020-09-30 → 2022-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10109561

## Citation

> US National Institutes of Health, RePORTER application 10109561, Identification of Potential Drug-drug Interactions in Alzheimer's Disease Patients (1R03AG070536-01). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10109561. Licensed CC0.

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