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This is a Literature Review study.

August 25, 2025Open Access

The AI Revolution in Chemistry: Shaping the Future of Materials and Biomedical Sciences

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This review analyzes AI's dual role in academic and industrial publications, highlighting trends in machine learning and neural networks.

AI-related publications in chemistry have surged since 2020, indicating its growing influence in both fields.
The analysis encompasses over 310,000 articles and patents, providing a comprehensive view of trends in biomedical research and materials science.
Traditional machine learning methods remain foundational, but advanced neural networks are gaining prominence in molecular predictions and design tasks.
Despite progress, challenges such as data privacy and model interpretability persist, emphasizing the need for ongoing adaptation and regulation.

Baranwal et al. (2025) studied this question.

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