Digital Twins in Pharmaceuticals: A Narrative Review with Industry  Case Insights

Mohamed Fadl Mohamed Mahdi; Almas Wael Yousef H; Skandar Abderrahim Mezough; Al-salahem Sultan Muneer Ali; Al-shakakik Ali Saleh H; Koshechkin Konstantin

doi:10.9734/ajmpcp/2025/v8i1295

Research Article Open access CC BY 4.0

Digital Twins in Pharmaceuticals: A Narrative Review with Industry Case Insights

Mohamed Fadl Mohamed Mahdi, Almas Wael Yousef H, Skandar Abderrahim Mezough, Al-salahem Sultan Muneer Ali, Al-shakakik Ali Saleh H, Koshechkin Konstantin

Asian Journal of Medical Principles and Clinical Practice · pp. 338–345 · Published 3 Jun 2025

10.9734/ajmpcp/2025/v8i1295

Abstract

Background: The integration of digital twin technology is reshaping pharmaceutical innovation across R&D, manufacturing, and patient care. Objective: This narrative review synthesizes real-world applications and current literature to evaluate the impact of digital twins on pharmaceutical workflows. Methods: A structured search of publications from 2020–2024 was conducted, emphasizing industry case reports, peer-reviewed studies, and technology whitepapers. Results: Digital twins have enhanced process optimization, accelerated drug discovery, and improved clinical trial designs. However, challenges remain in regulatory alignment, data standardization, and implementation costs. Conclusion: Digital twins offer substantial potential for personalized medicine and operational excellence. Future research must address limitations in interoperability, reproducibility, and ethical use to ensure sustainable adoption.

Pharmaceutical sector digital twin process optimization sector 4.0 virtual simulation and predictive modelling

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Mohamed Fadl Mohamed Mahdi, Almas Wael Yousef H, Skandar Abderrahim Mezough, Al-salahem Sultan Muneer Ali, Al-shakakik Ali Saleh H, Koshechkin Konstantin (2025). Digital Twins in Pharmaceuticals: A Narrative Review with Industry Case Insights. Asian Journal of Medical Principles and Clinical Practice , 338–345. https://doi.org/10.9734/ajmpcp/2025/v8i1295

Affiliations

Mohamed Fadl Mohamed Mahdi — Department of Information Technology and Medical Data Processing, Sechenov First Moscow State Medical University, Russia.
Almas Wael Yousef H — Department of Information Technology and Medical Data Processing, Sechenov First Moscow State Medical University, Russia.
Skandar Abderrahim Mezough — Department of Information Technology and Medical Data Processing, Sechenov First Moscow State Medical University, Russia.
Al-salahem Sultan Muneer Ali — Department of Information Technology and Medical Data Processing, Sechenov First Moscow State Medical University, Russia.
Al-shakakik Ali Saleh H — Department of Information Technology and Medical Data Processing, Sechenov First Moscow State Medical University, Russia.
Koshechkin Konstantin — Eurasian Academy of Good Practices, Head of Research, Laboratory of Advanced Technologies, Russia.

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