Embracing Digital Technologies in the Pharmaceutical Industry

Hariry, Reza Ebrahimi; Barenji, Reza Vatankhah

doi:10.1007/978-981-16-7775-5_4

Cited by 4 publications

(2 citation statements)

References 67 publications

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“…To fully embrace computational techniques in the pharmaceutical industry, significant cultural changes are essential. These changes include shifting mindsets towards accepting the predictive power of simulations in drug discovery (Hariry & Barenji, 2023), implementing robust data strategies that incorporate advanced analytics and machine learning algorithms, and adapting to digital transformations that encourage the use of new technologies like 3D printing and precision medicine (Yang, 2022). Additionally, the industry needs to prioritize innovation through research and development while ensuring compliance with evolving technological advancements (Edwards et al, 2021;Yang, 2022).…”

Section: Integration Of Modeling Methods For Enhanced Process Underst...mentioning

confidence: 99%

Computational Pharmaceutics: A Comprehensive Review of Past Achievements, Present Applications, and Future Challenges

Chaudhari,

Puri

et al. 2024

Preprint

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This paper explores the transformative impact of computational pharmaceutics, integrating AI, multi-scale modeling, quantum computing, AI-driven drug discovery, and blockchain frameworks. Molecular dynamics simulations provide insights into atomic behaviors crucial for drug design. Quantum computing reduces computational costs for simulating protein-drug interactions. AI and Graph Neural Networks accelerate drug discovery and personalized medicine. Blockchain frameworks facilitate secure pharmacogenetic data sharing. These advancements revolutionize drug development, offering unprecedented efficiency, innovation, and personalized treatments.

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Section: Integration Of Modeling Methods For Enhanced Process Underst...mentioning

confidence: 99%

Computational Pharmaceutics: A Comprehensive Review of Past Achievements, Present Applications, and Future Challenges

Chaudhari,

Puri

et al. 2024

Preprint

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“…The estimations reported that the costs of developing a new drug exceed 1.2 billion dollars and take an average of 12 years from creation to market, causing pharmaceutical companies to experience a pronounced "profitably gap" [1]. As pressures on the pharmaceutical industry continue to mount, quality and safety issues become a greater concern.…”

Section: Introductionmentioning

confidence: 99%

Blockchain-Enabled Quality Improvement Digital Twin for Clinical Trials

Vatankhah Barenji,

Wbrahimi Hariry

2023

Preprint

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Clinical trials are research studies performed on people that are aimed at evaluating a medical, surgical, or behavioural intervention. It is a primary way that researchers find out if a new treatment, like a new drug or diet, or medical device is safe and effective in people. In this paper blockchain technology is embedded in a digital twin aiming to improve the quality of clinical trials through the boost of data integrity among the quality-related activities, and to promote participants' safety. First, a blockchain-embedded quality-enabled digital twin is proposed and the interactions among the enablers and peers are highlighted. Then, a prototype of the proposed system is developed, and the data of a pilot trial is used to justify the applicability of the system. The results showed that the proposed system is efficient, and hence it is feasible to adopt into a clinical trial. With the successful development of the proposed system, it is promising to provide effective data integration and knowledge management for improving participant safety.

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How Should we Teach Medicinal Chemistry in Higher Education to Prepare Students for a Future Career as Medicinal Chemists and Drug Designers? – A Teacher's Perspective

Klahn

2024

ChemMedChem

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In the recent two decades, the multidisciplinary field of medicinal chemistry has undergone several conceptual and technology‐driven paradigm changes with significant impact on the skill set medicinal chemists need to acquire during their education. Considering the need for academic medicinal chemistry teaching, this article aims at identifying important skills, competences, and basic knowledge as general learning outcomes based on an analysis of the relevant stakeholders and concludes effective teaching strategies preparing students for a future career as medicinal chemists and drug designers.

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Embracing Digital Technologies in the Pharmaceutical Industry

Cited by 4 publications

References 67 publications

Computational Pharmaceutics: A Comprehensive Review of Past Achievements, Present Applications, and Future Challenges

Computational Pharmaceutics: A Comprehensive Review of Past Achievements, Present Applications, and Future Challenges

Blockchain-Enabled Quality Improvement Digital Twin for Clinical Trials

How Should we Teach Medicinal Chemistry in Higher Education to Prepare Students for a Future Career as Medicinal Chemists and Drug Designers? – A Teacher's Perspective

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