Learning from real world data about combinatorial treatment selection for COVID-19. - Song Zhai; Zhiwei Zhang; Jiayu Liao; Xinping Cui (Frontiers Artif. Intell., 2023)

Integrating multiple traits for improving polygenic risk prediction in disease and pharmacogenomics GWAS. - Song Zhai; Bin Guo 004; Baolin Wu; Devan V. Mehrotra; Judong Shen (Briefings Bioinform., 2023)

Applying polygenic risk score methods to pharmacogenomics GWAS: challenges and opportunities. - Song Zhai; Devan V. Mehrotra; Judong Shen (Briefings Bioinform., 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)

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)