Lianqing Liu

This study uses quantitative phase microscopy to measure cellular Young's modulus in real time and finds that total variation of phase correlates with mechanical properties, revealing differences in stiffness between cell types in wound healing.

This paper develops AI models to predict odor perception categories from molecular structures, finding that MG-CNN provides the highest accuracy for structure-odor relationship prediction.

This paper develops a machine-learning-based olfactometry system to predict odor descriptors from molecular features, reducing the need for human panelists in olfactory evaluation.