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An In-Depth Examination of Drug-Drug Interaction Databases: Enhancing Patient Safety through Advanced Predictive Models and Artificial Intelligence Techniques

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Last updated: 15 Feb 2025

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Abstract

Background: Drug-drug interactions (DDIs) pose a significant risk to patient safety, leading to adverse effects and increased hospitalizations. With the rise of polypharmacy, especially among elderly patients and those with chronic conditions, understanding and predicting DDIs has become imperative for effective clinical management. Methods: This review synthesizes current literature on drug-drug interaction databases and their role in predicting DDIs. A systematic search of relevant databases focused on studies utilizing artificial intelligence (AI) and machine learning techniques for DDI prediction. Key databases, such as DrugBank, PubChem, and the Pharmacogenomics Knowledgebase (PharmGKB), were analyzed for their contributions to DDI research. Results: The findings indicate that AI-driven methodologies significantly enhance the identification and prediction of DDIs. Various machine learning techniques, including conventional and unconventional methods, have been employed to assess drug interactions effectively. The review highlights real-world examples of critical DDIs, demonstrating the clinical implications of these interactions. Databases provide essential tools for healthcare providers to manage medications and prevent adverse events.
Conclusion: Integrating drug-drug interaction databases into clinical practice is crucial for improving patient safety and treatment efficacy. Future research should focus on enhancing the predictive capabilities of these models through continuous data integration and validation. By leveraging advanced computational techniques, healthcare systems can better anticipate and mitigate the risks associated with drug interactions.

DOI

10.21608/jmals.2024.410645

Keywords

Drug-Drug Interactions, artificial intelligence, Machine Learning, Patient Safety, pharmacovigilance

Authors

First Name

Abdulaziz

Last Name

Sumayli

MiddleName

Alkhallaf

Affiliation

KSAFH King Salman Armed Forces Hospital in Northwestern Region, Saudi Arabia

Email

-

City

-

Orcid

-

First Name

Abdulrahim

Last Name

Daghriry

MiddleName

Ibrahim

Affiliation

KSAFH King Salman Armed Forces Hospital in Northwestern Region, Saudi Arabia

Email

-

City

-

Orcid

-

First Name

Mohammed

Last Name

Sharahili

MiddleName

Ali

Affiliation

KSAFH King Salman Armed Forces Hospital in Northwestern Region, Saudi Arabia

Email

-

City

-

Orcid

-

First Name

Abdulhakim

Last Name

Alanazi

MiddleName

Awadh

Affiliation

KSAFH King Salman Armed Forces Hospital in Northwestern Region, Saudi Arabia

Email

-

City

-

Orcid

-

First Name

Adel

Last Name

Alanazi

MiddleName

Abdullah

Affiliation

KSAFH King Salman Armed Forces Hospital in Northwestern Region, Saudi Arabia

Email

-

City

-

Orcid

-

First Name

Ibrahim

Last Name

Alharbi

MiddleName

Fraih

Affiliation

KSAFH King Salman Armed Forces Hospital in Northwestern Region, Saudi Arabia

Email

-

City

-

Orcid

-

First Name

Fahad

Last Name

Alghamdi

MiddleName

Nayesh

Affiliation

KSAFH King Salman Armed Forces Hospital in Northwestern Region, Saudi Arabia

Email

-

City

-

Orcid

-

First Name

Kamal

Last Name

Alqarni

MiddleName

Ali

Affiliation

KSAFH King Salman Armed Forces Hospital in Northwestern Region, Saudi Arabia

Email

-

City

-

Orcid

-

First Name

Naser

Last Name

Aljohani

MiddleName

Mutiq

Affiliation

KSAFH King Salman Armed Forces Hospital in Northwestern Region, Saudi Arabia

Email

-

City

-

Orcid

-

First Name

Abdulmohsen

Last Name

Alfaqir

MiddleName

Mohammad

Affiliation

KSAFH King Salman Armed Forces Hospital in Northwestern Region, Saudi Arabia

Email

-

City

-

Orcid

-

First Name

Ibrahim

Last Name

Shajiri

MiddleName

Mohammed

Affiliation

KSAFH King Salman Armed Forces Hospital in Northwestern Region, Saudi Arabia

Email

-

City

-

Orcid

-

First Name

Abdulrahman

Last Name

Albalawi

MiddleName

Rashid

Affiliation

KSAFH King Salman Armed Forces Hospital in Northwestern Region, Saudi Arabia

Email

-

City

-

Orcid

-

First Name

Fahd

Last Name

Alatwi

MiddleName

Moter

Affiliation

KSAFH King Salman Armed Forces Hospital in Northwestern Region, Saudi Arabia

Email

-

City

-

Orcid

-

First Name

Munif

Last Name

Alrashdi

MiddleName

Sadan

Affiliation

KSAFH King Salman Armed Forces Hospital in Northwestern Region, Saudi Arabia

Email

-

City

-

Orcid

-

First Name

Khalid

Last Name

Altaymani

MiddleName

Abdullah

Affiliation

KSAFH King Salman Armed Forces Hospital in Northwestern Region, Saudi Arabia

Email

-

City

-

Orcid

-

First Name

Meshal

Last Name

Alsharari

MiddleName

Basheer

Affiliation

KSAFH King Salman Armed Forces Hospital in Northwestern Region, Saudi Arabia

Email

-

City

-

Orcid

-

First Name

Alnashmi

Last Name

Albalawi

MiddleName

Mahdi

Affiliation

KSAFH King Salman Armed Forces Hospital in Northwestern Region, Saudi Arabia

Email

-

City

-

Orcid

-

First Name

Sultan

Last Name

Alanazi

MiddleName

Radhi

Affiliation

KSAFH King Salman Armed Forces Hospital in Northwestern Region, Saudi Arabia

Email

-

City

-

Orcid

-

First Name

Abdullah

Last Name

Alanazi

MiddleName

Samah

Affiliation

KSAFH King Salman Armed Forces Hospital in Northwestern Region, Saudi Arabia

Email

-

City

-

Orcid

-

Volume

6

Article Issue

4

Related Issue

52782

Issue Date

2024-12-01

Receive Date

2024-09-15

Publish Date

2024-12-16

Page Start

553

Page End

565

Print ISSN

2636-4093

Online ISSN

2636-4107

Article File

JMALS_Volume 6_Issue 4_Pages 553-565.pdf

PDF . 481.4kB

Link

https://jmals.journals.ekb.eg/article_410645.html

Detail API

http://journals.ekb.eg?_action=service&article_code=410645

Order

410,645

Type

Original Article

Type Code

1,104

Publication Type

Journal

Publication Title

Journal of Medical and Life Science

Publication Link

https://jmals.journals.ekb.eg/

MainTitle

An In-Depth Examination of Drug-Drug Interaction Databases: Enhancing Patient Safety through Advanced Predictive Models and Artificial Intelligence Techniques

Details

Type

Article

Created At

08 Feb 2025