Biomedical Task

Biomedical task research focuses on leveraging large language models (LLMs) and other AI techniques to automate and improve various bioinformatics and clinical tasks, such as information extraction, question answering, and diagnosis support. Current research emphasizes benchmarking LLM performance across diverse biomedical datasets and tasks, exploring different model architectures (including transformers and retrieval-augmented generation), and investigating the effectiveness of various fine-tuning and prompting strategies. These advancements aim to improve the efficiency and accuracy of biomedical research and clinical practice, potentially accelerating drug discovery, diagnostics, and personalized medicine.