Artificial Intelligence in Pharmaceutical Technology and Drug Delivery Design

Artificial intelligence (AI) has emerged as a powerful tool that harnesses anthropomorphic knowledge and provides expedited solutions to complex challenges. This review provides an overview of various AI-based approaches utilized in pharmaceutical technology, highlighting their benefits and drawbacks.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

• 1 Remarkable advancements in AI technology and machine learning present a transformative opportunity in the drug discovery, formulation, and testing of pharmaceutical dosage forms.
• 2 By utilizing AI algorithms that analyze extensive biological data, including genomics and proteomics, researchers can identify disease-associated targets and predict their interactions with potential drug candidates.
• 3 This enables a more efficient and targeted approach to drug discovery, thereby increasing the likelihood of successful drug approvals.

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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