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Title: :  THE ROLE OF AI ENHANCING DRUG SAFETY FOCUS ON DRUG-DRUG INTERACTIONS
PaperId: :  28159
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 12 Issue 2 2026
DUI:    16.0415/IJARIIE-28159
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Ms.Eshika A.Deshmukh Vidyabharati college of pharmacy, AMARAVTI
Dr. S.G.Jawarkar Vidyabharati college of pharmacy, AMARAVTI
Ms.Dhanshri BhondeVidyabharati college of pharmacy, AMARAVTI
Ms.Diksha PatilVidyabharati college of pharmacy, AMARAVTI

Abstract

pharmacy
Artificial Intelligence, Drug–Drug Interactions, Pharmacovigilance, Machine Learning, Deep Learning, Adverse Drug Reactions
Drug safety remains a critical component of modern healthcare, and Drug-Drug Interactions (DDIs) represent a major preventable cause of adverse drug reactions. Traditional methods for identifying DDIs such as clinical trials, spontaneous reporting systems, and manual literature review are often limited by underreporting, high complexity, and delayed detection. Artificial Intelligence (AI) has emerged as a powerful tool capable of overcoming these limitations by analysing large, diverse biomedical datasets and identifying hidden patterns associated with potential interactions. Recent advancements in machine learning, deep learning, graph-based modelling, and natural language processing have significantly improved the accuracy and efficiency of DDI prediction. This review provides an overview of the role of AI in enhancing drug safety, describing the major computational techniques used for DDI prediction and the fundamental data sources that support AI-driven pharmacovigilance. Key applications and case studies highlight AI’s growing utility in early risk detection, personalized interaction assessment, and automated safety surveillance. Despite these advancements, challenges such as data quality issues, algorithmic bias, lack of transparency, and limited clinical validation continue to restrict widespread implementation. Future developments including explainable AI, federated learning, real-time decision support systems, and multi-omics integration are expected to strengthen predictive pharmacovigilance and support safer therapeutic decisions. Overall, the integration of AI into DDI prediction represents a promising step toward proactive, efficient, and patient-centred drug safety monitoring.

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IJARIIE Ms.Eshika A.Deshmukh , Dr. S.G.Jawarkar , Ms.Dhanshri Bhonde, and Ms.Diksha Patil. "THE ROLE OF AI ENHANCING DRUG SAFETY FOCUS ON DRUG-DRUG INTERACTIONS" International Journal Of Advance Research And Innovative Ideas In Education Volume 12 Issue 2 2026 Page 656-668
MLA Ms.Eshika A.Deshmukh , Dr. S.G.Jawarkar , Ms.Dhanshri Bhonde, and Ms.Diksha Patil. "THE ROLE OF AI ENHANCING DRUG SAFETY FOCUS ON DRUG-DRUG INTERACTIONS." International Journal Of Advance Research And Innovative Ideas In Education 12.2(2026) : 656-668.
APA Ms.Eshika A.Deshmukh , Dr. S.G.Jawarkar , Ms.Dhanshri Bhonde, & Ms.Diksha Patil. (2026). THE ROLE OF AI ENHANCING DRUG SAFETY FOCUS ON DRUG-DRUG INTERACTIONS. International Journal Of Advance Research And Innovative Ideas In Education, 12(2), 656-668.
Chicago Ms.Eshika A.Deshmukh , Dr. S.G.Jawarkar , Ms.Dhanshri Bhonde, and Ms.Diksha Patil. "THE ROLE OF AI ENHANCING DRUG SAFETY FOCUS ON DRUG-DRUG INTERACTIONS." International Journal Of Advance Research And Innovative Ideas In Education 12, no. 2 (2026) : 656-668.
Oxford Ms.Eshika A.Deshmukh , Dr. S.G.Jawarkar , Ms.Dhanshri Bhonde, and Ms.Diksha Patil. 'THE ROLE OF AI ENHANCING DRUG SAFETY FOCUS ON DRUG-DRUG INTERACTIONS', International Journal Of Advance Research And Innovative Ideas In Education, vol. 12, no. 2, 2026, p. 656-668. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/THE_ROLE_OF_AI_ENHANCING_DRUG_SAFETY_FOCUS_ON_DRUG_DRUG_INTERACTIONS_ijariie28159.pdf (Accessed : ).
Harvard Ms.Eshika A.Deshmukh , Dr. S.G.Jawarkar , Ms.Dhanshri Bhonde, and Ms.Diksha Patil. (2026) 'THE ROLE OF AI ENHANCING DRUG SAFETY FOCUS ON DRUG-DRUG INTERACTIONS', International Journal Of Advance Research And Innovative Ideas In Education, 12(2), pp. 656-668IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/THE_ROLE_OF_AI_ENHANCING_DRUG_SAFETY_FOCUS_ON_DRUG_DRUG_INTERACTIONS_ijariie28159.pdf (Accessed : )
IEEE Ms.Eshika A.Deshmukh , Dr. S.G.Jawarkar , Ms.Dhanshri Bhonde, and Ms.Diksha Patil, "THE ROLE OF AI ENHANCING DRUG SAFETY FOCUS ON DRUG-DRUG INTERACTIONS," International Journal Of Advance Research And Innovative Ideas In Education, vol. 12, no. 2, pp. 656-668, Mar-App 2026. [Online]. Available: https://ijariie.com/AdminUploadPdf/THE_ROLE_OF_AI_ENHANCING_DRUG_SAFETY_FOCUS_ON_DRUG_DRUG_INTERACTIONS_ijariie28159.pdf [Accessed : ].
Turabian Ms.Eshika A.Deshmukh , Dr. S.G.Jawarkar , Ms.Dhanshri Bhonde, and Ms.Diksha Patil. "THE ROLE OF AI ENHANCING DRUG SAFETY FOCUS ON DRUG-DRUG INTERACTIONS." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 12 number 2 ().
Vancouver Ms.Eshika A.Deshmukh , Dr. S.G.Jawarkar , Ms.Dhanshri Bhonde, and Ms.Diksha Patil. THE ROLE OF AI ENHANCING DRUG SAFETY FOCUS ON DRUG-DRUG INTERACTIONS. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2026 [Cited : ]; 12(2) : 656-668. Available from: https://ijariie.com/AdminUploadPdf/THE_ROLE_OF_AI_ENHANCING_DRUG_SAFETY_FOCUS_ON_DRUG_DRUG_INTERACTIONS_ijariie28159.pdf
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