Song Zhai

According to our database, Song Zhai authored at least 6 papers between 2023 and 2026.

Collaborative distances:

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

2026

Estimating Dense-Packed Zone Height in Liquid-Liquid Separation: A Physics-Informed Neural Network Approach.

Mehmet Velioglu, Song Zhai, Alexander Mitsos, Adel Mhamdi, Andreas Jupke, Manuel Dahmen

CoRR, January, 2026

2025

Physics-informed neural networks for dynamic process operations with limited physical knowledge and data.

Mehmet Velioglu, Song Zhai, Sophia Rupprecht, Alexander Mitsos, Andreas Jupke, Manuel Dahmen

Comput. Chem. Eng., 2025

2024

Applying polygenic risk score methods to pharmacogenomics GWAS: challenges and opportunities.

Song Zhai, Devan V. Mehrotra, Judong Shen

Briefings Bioinform., January, 2024

A novel machine learning based framework for developing composite digital biomarkers of disease progression.

Song Zhai, Andy Liaw, Judong Shen, Yuting Xu, Vladimir Svetnik, James J. Fitzgerald, Chrystalina A. Antoniades, Dan Holder, Marissa F. Dockendorf, Jie Ren, Richard Baumgartner

Frontiers Digit. Health, 2024

2023

Integrating multiple traits for improving polygenic risk prediction in disease and pharmacogenomics GWAS.

Song Zhai, Bin Guo, Baolin Wu, Devan V. Mehrotra, Judong Shen

Briefings Bioinform., July, 2023

Learning from real world data about combinatorial treatment selection for COVID-19.

Song Zhai, Zhiwei Zhang, Jiayu Liao, Xinping Cui

Frontiers Artif. Intell., February, 2023