دورية أكاديمية
The role of artificial intelligence in generating original scientific research.
| العنوان: | The role of artificial intelligence in generating original scientific research. |
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| المؤلفون: | Elbadawi M; UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK. Electronic address: m.elbadawi@qmul.ac.uk., Li H; UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK., Basit AW; UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK., Gaisford S; UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK. Electronic address: s.gaisford@ucl.ac.uk. |
| المصدر: | International journal of pharmaceutics [Int J Pharm] 2024 Mar 05; Vol. 652, pp. 123741. Date of Electronic Publication: 2024 Jan 03. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Elsevier/North-Holland Biomedical Press Country of Publication: Netherlands NLM ID: 7804127 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-3476 (Electronic) Linking ISSN: 03785173 NLM ISO Abbreviation: Int J Pharm Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: Amsterdam, Elsevier/North-Holland Biomedical Press. |
| مواضيع طبية MeSH: | Artificial Intelligence* , Biopharmaceutics*, Humans ; Vibration |
| مستخلص: | Artificial intelligence (AI) is a revolutionary technology that is finding wide application across numerous sectors. Large language models (LLMs) are an emerging subset technology of AI and have been developed to communicate using human languages. At their core, LLMs are trained with vast amounts of information extracted from the internet, including text and images. Their ability to create human-like, expert text in almost any subject means they are increasingly being used as an aid to presentation, particularly in scientific writing. However, we wondered whether LLMs could go further, generating original scientific research and preparing the results for publication. We taskedGPT-4, an LLM, to write an original pharmaceutics manuscript, on a topic that is itself novel. It was able to conceive a research hypothesis, define an experimental protocol, produce photo-realistic images of 3D printed tablets, generate believable analytical data from a range of instruments and write a convincing publication-ready manuscript with evidence of critical interpretation. The model achieved all this is less than 1 h. Moreover, the generated data were multi-modal in nature, including thermal analyses, vibrational spectroscopy and dissolution testing, demonstrating multi-disciplinary expertise in the LLM. One area in which the model failed, however, was in referencing to the literature. Since the generated experimental results appeared believable though, we suggest that LLMs could certainly play a role in scientific research but with human input, interpretation and data validation. We discuss the potential benefits and current bottlenecks for realising this ambition here. Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.) |
| فهرسة مساهمة: | Keywords: Artificial intelligence; Large language models; Pharmaceutical 3D printing; Poly(D,L-lactide-co-glycolide) (PLGA); Selective laser sintering |
| تواريخ الأحداث: | Date Created: 20240105 Date Completed: 20240223 Latest Revision: 20240223 |
| رمز التحديث: | 20240223 |
| DOI: | 10.1016/j.ijpharm.2023.123741 |
| PMID: | 38181989 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1873-3476 |
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| DOI: | 10.1016/j.ijpharm.2023.123741 |