Large Language Model-Based Natural Language Encoding Could Be All You Need for Drug Biomedical Association Prediction
Hanyu Zhang,
Yuan Zhou,
Zhichao Zhang
et al.
Abstract:Analyzing drug-related interactions in the field of biomedicine has been a critical aspect of drug discovery and development. While various artificial intelligence (AI)-based tools have been proposed to analyze drug biomedical associations (DBAs), their feature encoding did not adequately account for crucial biomedical functions and semantic concepts, thereby still hindering their progress. Since the advent of ChatGPT by OpenAI in 2022, large language models (LLMs) have demonstrated rapid growth and significan… Show more
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