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Abstract
Rapid advances in large language models (LLMs) are transforming the role of students and principal investigators (PIs) in biomedical research. This perspective examines how LLMs can reshape the laboratory model as de facto “Co-PIs” for tasks ranging from literature triage to hypothesis generation. By clarifying both opportunities and risks, we propose a framework for efficient AI collaboration which aims to guide investigators and trainees in harnessing LLMs responsibly.