Integrating Large Language Models in Bioinformatics Education for Medical Students: Opportunities and Challenges.
Ann Biomed Eng
; 52(9): 2311-2315, 2024 Sep.
Article
em En
| MEDLINE
| ID: mdl-38839663
ABSTRACT
Large language models (LLMs) offer transformative opportunities in bioinformatics education for medical students by creating interactive experiences. The integration of LLMs enhances educational outcomes through providing accessible code templates, clarifying the function of coding elements, and assisting in error troubleshooting. Here, we demonstrate the practical applications of LLMs with a case study on transcriptome sequencing data processing, a vital component of medical research. However, the reliability of the content that LLMs generate requires rigorous validation. Ensuring the accuracy and appropriateness of the LLM-generated information requires integrating innovative LLMs with traditional educational methods to prepare medical students effectively for future challenges in bioinformatics.
Palavras-chave
Texto completo:
1
Bases de dados:
MEDLINE
Assunto principal:
Estudantes de Medicina
/
Biologia Computacional
Limite:
Humans
Idioma:
En
Revista:
Ann Biomed Eng
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
China