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<p>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.</p>

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Will AI become our Co-PI?

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月14日

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  • Dillan Prasad,
  • Aditya Khandeshi,
  • Spencer Sartin,
  • Rishi Jain,
  • Nader Dahdaleh,
  • Maciej Lesniak,
  • Yuan Luo,
  • Christopher Ahuja

摘要

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.