[HTML][HTML] Empowering biomedical discovery with AI agents

S Gao, A Fang, Y Huang, V Giunchiglia, A Noori… - Cell, 2024 - cell.com
We envision" AI scientists" as systems capable of skeptical learning and reasoning that
empower biomedical research through collaborative agents that integrate AI models and …

Bioinformatics and biomedical informatics with ChatGPT: Year one review

J Wang, Z Cheng, Q Yao, L Liu, D Xu… - Quantitative Biology, 2024 - Wiley Online Library
The year 2023 marked a significant surge in the exploration of applying large language
model chatbots, notably Chat Generative Pre‐trained Transformer (ChatGPT), across …

Leveraging large language models for data analysis automation

JA Jansen, A Manukyan, N Al Khoury, A Akalin - PloS one, 2025 - journals.plos.org
Data analysis is constrained by a shortage of skilled experts, particularly in biology, where
detailed data analysis and subsequent interpretation is vital for understanding complex …

Simplifying bioinformatics data analysis through conversation

Z Dong, H Zhou, Y Jiang, V Zhong, YY Lu - bioRxiv, 2023 - biorxiv.org
The burgeoning field of bioinformatics has been revolutionized by the rapid growth of omics
data, providing insights into various biological processes. However, the complexity of …

LIDDIA: Language-based Intelligent Drug Discovery Agent

R Averly, FN Baker, X Ning - arxiv preprint arxiv:2502.13959, 2025 - arxiv.org
Drug discovery is a long, expensive, and complex process, relying heavily on human
medicinal chemists, who can spend years searching the vast space of potential therapies …