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Review
. 2025 Jul 14;8(1):440.
doi: 10.1038/s41746-025-01859-w.

Will AI become our Co-PI?

Dillan Prasad  1 , Aditya Khandeshi  2 , Spencer Sartin  3 , Rishi Jain  2 , Nader Dahdaleh  2 , Maciej Lesniak  2 , Yuan Luo  4 , Christopher Ahuja  2
Affiliations
Review

Will AI become our Co-PI?

Dillan Prasad et al. NPJ Digit Med. .

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.

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Conflict of interest statement

Competing interests: Y.L. is a member of the NPJ Digital Medicine Editorial Board. He was not part of peer review nor decision making of the manuscript. The authors have no other competing interests to declare. No funding was received for this work.

Figures

Fig. 1
Fig. 1
AI collaborators for efficient aggregation and synthesis in biomedical discovery.
See this image and copyright information in PMC

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