Proceeding artificial intelligence technology towards vaccine designs

<p>Although vaccines have been designed to be safe and effective, it still takes years to move vaccine development from benchside to bedside. Novel strategies are needed to accelerate the vaccine design process. Artificial intelligence (AI) has started to play an important role in the life science industry. In this review, we summarized progress of AI-assisted vaccine designs in three areas, including <i>de novo</i> protein subunit design that focuses more on the immunogenic part of the antigen, viral vectored-based vaccine innovation that combats pre-existing immunity, and mRNA vaccine platform optimization that improves stability and translational efficiency. Additionally, we also address the multifaceted challenges associated with integrating AI into vaccine development, encompassing technical, ethical, and regulatory considerations, and offer strategic recommendations to navigate these complexities. AI-driven methodologies hold the promise of revolutionizing next-generation vaccine design by improving safety profiles, stability, immunogenicity, and overall efficacy, thereby strengthening global preparedness against emerging infectious threats.</p>

Authors

Publication Details

Journal
The Innovation Life
Published
2025-01-01
DOI
https://doi.org/10.59717/j.xinn-life.2025.100162
Citations
3
Primary Topic
SARS-CoV-2 and COVID-19 Research
Type
article
Field-Weighted Citation Impact
4.19
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Proceeding artificial intelligence technology towards vaccine designs

Xiaodong Zai, Fangyuan Zhao
3 citations
The Innovation Life
SARS-CoV-2 and COVID-19 Research
4.19
article

Proceeding artificial intelligence technology towards vaccine designs

Xiaodong Zai, Fangyuan Zhao
article en
3 citations

Abstract

<p>Although vaccines have been designed to be safe and effective, it still takes years to move vaccine development from benchside to bedside. Novel strategies are needed to accelerate the vaccine design process. Artificial intelligence (AI) has started to play an important role in the life science industry. In this review, we summarized progress of AI-assisted vaccine designs in three areas, including <i>de novo</i> protein subunit design that focuses more on the immunogenic part of the antigen, viral vectored-based vaccine innovation that combats pre-existing immunity, and mRNA vaccine platform optimization that improves stability and translational efficiency. Additionally, we also address the multifaceted challenges associated with integrating AI into vaccine development, encompassing technical, ethical, and regulatory considerations, and offer strategic recommendations to navigate these complexities. AI-driven methodologies hold the promise of revolutionizing next-generation vaccine design by improving safety profiles, stability, immunogenicity, and overall efficacy, thereby strengthening global preparedness against emerging infectious threats.</p>

The Innovation LifeVol. 3(4)
Openalex Percentile: Top 5%
SARS-CoV-2 and COVID-19 Research
4.19
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Proceeding artificial intelligence technology towards vaccine designs — Xiaodong Zai, Fangyuan Zhao · The Innovation Life (2025) | TGRS Research Map | TGRS