1 code implementation • Nature 2020 • Xueyan Mei, Hao-Chih Lee, Yang Yang
In this study, we used artificial intelligence (AI) algorithms to integrate chest CT findings with clinical symptoms, exposure history and laboratory testing to rapidly diagnose patients who are positive for COVID-19.
1 code implementation • 14 Mar 2020 • Isotta Landi, Benjamin S. Glicksberg, Hao-Chih Lee, Sarah Cherng, Giulia Landi, Matteo Danieletto, Joel T. Dudley, Cesare Furlanello, Riccardo Miotto
With these results, we demonstrate that ConvAE can generate patient representations that lead to clinically meaningful insights.
1 code implementation • 31 Oct 2019 • Hao-Chih Lee, Matteo Danieletto, Riccardo Miotto, Sarah T. Cherng, Joel T. Dudley
Constructing gene regulatory networks is a critical step in revealing disease mechanisms from transcriptomic data.
1 code implementation • 1 Oct 2019 • Hao-Chih Lee, Sarah T. Cherng, Riccardo Miotto, Joel T. Dudley
Such requirements are particularly challenging for high-throughput imaging, where researchers must make decisions related to the trade-off between imaging quality and speed.