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Artificial Intelligence in Pharmaceutical Technology and Drug Delivery Design

📅 July 10, 2023 👤 Lalitkumar K. Vora, Amol D. Gholap, Keshava Jetha et al. 📖 Pharmaceutics 📊 932 citations

🤖 Plain-English Summary

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.

🔑 Key Findings

  • Remarkable advancements in AI technology and machine learning present a transformative opportunity in the drug discovery, formulation, and testing of pharmaceutical dosage forms.
  • 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.
  • This enables a more efficient and targeted approach to drug discovery, thereby increasing the likelihood of successful drug approvals.

💡 Why This Matters

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

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📋 Article Details

Category 🤖 Artificial Intelligence
Published Jul 10, 2023
Journal Pharmaceutics
Authors Lalitkumar K. Vora, Amol D. Gholap, Keshava Jetha, Thakur Raghu Raj Singh, Hetvi K. Solanki
DOI 10.3390/pharmaceutics15071916
Citations 932
Source OpenAlex

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