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Analysis of Prompt Engineering for Drug Toxicity Prediction
Clinical trials in the UK can cost up to £1.3 million, with approximately 90% drug failure rate. Toxicity is a major contributing factor in drug failure. Testing is time and cost intensive. In recent years, the use of artificial intelligence has been increasingly explored to aid in the prediction of drug toxicity, with extensive use of large language models (LLMs). However, LLMs can show considerable variation when minor changes are made to prompts, which raises concerns about their sensitivity to prompt engineering. Prompt engineering is used to optimise a prompt given to an LLM to generate t
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-03T10:28:55.000Z
First collected: 2026-09-21T04:51:57.792Z. This is not the publication date.