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Artificial Intelligence in Pharmaceutical Sciences: An In-Depth Review from Historical Foundations to Future Innovations

Year: 2025

Type: article

Abstract: Artificial Intelligence (AI) has emerged as a transformative force in pharmaceutical sciences, revolutionizing drug discovery, diagnostics, manufacturing, and personalized medicine. This review explores the historical evolution of AI, its significance in pharmaceutical fields, and its applications in medical devices, diagnostics, manufacturing operations, and research and development (R&D) of dosage forms. Supported by deep scientific literature and current approved inventions, this article also highlights future perspectives, emphasizing AI's potential to address global health challenges and improve patient outcomes.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15204205

Author: Navnath Kulal*1, Nikhilesh Kumbhar1, Onkar Gaikwad1, Sagar Waghmode1, Yash Adagale1, Namdeo Shinde2

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6968093809

FWCI: 0.496

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Cited by: 1

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