Jay Moran

According to our database, Jay Moran authored at least 4 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

AI-driven Automation of End-to-end Assessment of Suturing Expertise.

Atharva Deo, Nicholas Matsumoto, Sun Kim, Peter Wager, Randy G. Tsai, Aaron Denmark, Cherine Yang, Xi Li, Jay Moran, Miguel Hernandez, Andrew J. Hung

CoRR, March, 2025

Drug repurposing for Alzheimer's disease using a graph-of-thoughts based large language model to infer drug-disease relationships in a comprehensive knowledge graph.

Zhiping Paul Wang, Xi Li, Nicholas Matsumoto, Mythreye Venkatesan, Jui-Hsuan Chang, Jay Moran, Hyunjun Choi, Binglan Li, Yufei Meng, Miguel E. Hernandez, Jason H. Moore

BioData Min., 2025

2023

Aliro: an automated machine learning tool leveraging large language models.

Hyunjun Choi, Jay Moran, Nicholas Matsumoto, Miguel E. Hernandez, Jason H. Moore

Bioinform., October, 2023

TPOT2: A New Graph-Based Implementation of the Tree-Based Pipeline Optimization Tool for Automated Machine Learning.

Pedro Henrique Ribeiro, Anil Kumar Saini, Jay Moran, Nicholas Matsumoto, Hyunjun Choi, Miguel E. Hernandez, Jason H. Moore

Proceedings of the Genetic Programming Theory and Practice XX [GPTP 2023], 2023