TY - JOUR
T1 - Generative AI and large language models
T2 - A new frontier in reverse vaccinology
AU - Hayawi, Kadhim
AU - Shahriar, Sakib
AU - Alashwal, Hany
AU - Serhani, Mohamed Adel
N1 - Publisher Copyright:
© 2024 The Authors
PY - 2024/1
Y1 - 2024/1
N2 - Reverse vaccinology is an emerging concept in the field of vaccine development as it facilitates the identification of potential vaccine candidates. Biomedical research has been revolutionized with the recent innovations in Generative Artificial Intelligence (AI) and Large Language Models (LLMs). The intersection of these two technologies is explored in this study. In this study, the impact of Generative AI and LLMs in the field of vaccinology is explored. Through a comprehensive analysis of existing research, prospective use cases, and an experimental case study, this research highlights that LLMs and Generative AI have the potential to enhance the efficiency and accuracy of vaccine candidate identification. This work also discusses the ethical and privacy challenges, such as data consent and potential biases, raised by such applications that require careful consideration. This study paves the way for experts, researchers, and policymakers to further investigate the role and impact of Generative AI and LLM in vaccinology and medicine.
AB - Reverse vaccinology is an emerging concept in the field of vaccine development as it facilitates the identification of potential vaccine candidates. Biomedical research has been revolutionized with the recent innovations in Generative Artificial Intelligence (AI) and Large Language Models (LLMs). The intersection of these two technologies is explored in this study. In this study, the impact of Generative AI and LLMs in the field of vaccinology is explored. Through a comprehensive analysis of existing research, prospective use cases, and an experimental case study, this research highlights that LLMs and Generative AI have the potential to enhance the efficiency and accuracy of vaccine candidate identification. This work also discusses the ethical and privacy challenges, such as data consent and potential biases, raised by such applications that require careful consideration. This study paves the way for experts, researchers, and policymakers to further investigate the role and impact of Generative AI and LLM in vaccinology and medicine.
KW - AI
KW - AI ethics
KW - Generative AI
KW - Large language models (LLMs)
KW - Reverse vaccinology
KW - Vaccine candidate identification
KW - Vaccines
UR - http://www.scopus.com/inward/record.url?scp=85196551163&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85196551163&partnerID=8YFLogxK
U2 - 10.1016/j.imu.2024.101533
DO - 10.1016/j.imu.2024.101533
M3 - Article
AN - SCOPUS:85196551163
SN - 2352-9148
VL - 48
JO - Informatics in Medicine Unlocked
JF - Informatics in Medicine Unlocked
M1 - 101533
ER -