The Flaws of Others: Large Language Models in Biomedical Research

Explore the potential pitfalls and limitations of large language models in biomedical research through this insightful conference talk by Juan Gutiérrez at the Computational Genomics Summer Institute (CGSI) 2024. Delve into the critical analysis of how these advanced AI models may introduce biases or inaccuracies when applied to complex biomedical data, particularly in malaria research. Examine case studies from recent scientific papers, including research on Plasmodium cynomolgi infections in macaques and Plasmodium knowlesi cytoadhesion mechanisms. Gain a deeper understanding of the challenges faced when integrating large language models with systems biology approaches in parasitology and infectious disease research. Consider the implications for data interpretation, experimental design, and the future direction of AI-assisted biomedical studies.