Ten simple rules for optimal and careful use of generative AI in science.
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| Title: | Ten simple rules for optimal and careful use of generative AI in science. |
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| Authors: | Helmy M; Vaccine and Infectious Diseases Organization (VIDO), University of Saskatchewan, Saskatchewan, Canada.; Vaccinology and Immunotherapeutics Program, School of Public Health, University of Saskatchewan, Saskatchewan, Canada.; Department of Computer Science, University of Saskatchewan, Saskatchewan, Canada.; Department of Computer Science, Idaho State University, Boise, Idaho, United States of America.; Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore., Jin L; Department of Computer Science, University of Saskatchewan, Saskatchewan, Canada., Alhossary A; Chemistry Department, Wesleyan University, Middletown, Connecticut, United States of America., Mansour T; Department of Population Health and Reproduction, University of California, Davis, California, United States of America.; Department of Clinical Pathology, College of Medicine, Mansoura University, Mansoura, Egypt., Pellagrina D; Vaccine and Infectious Diseases Organization (VIDO), University of Saskatchewan, Saskatchewan, Canada., Selvarajoo K; Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.; Synthetic Biology Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Republic of Singapore.; Synthetic Biology for Clinical and Technological Innovation (SynCTI), National University of Singapore (NUS), Centre for Life Sciences #02-07, Singapore, Republic of Singapore.; School of Biological Sciences, Nanyang Technological University (NTU), Singapore, Republic of Singapore. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2025 Oct 28; Vol. 21 (10), pp. e1013588. Date of Electronic Publication: 2025 Oct 28 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE; In Process |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1553-7358 |
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| DOI: | 10.1371/journal.pcbi.1013588 |
