Y.-H. Zhang

This paper introduces LFMNR, a method for high-fidelity 3D reconstruction of biological dynamics using physics-informed neural representations and meta-learning, achieving improved resolution and speed.

This paper conducts a bibliometric analysis of cancer alternative splicing research from 2012 to 2021, identifying trends, key institutions, and research areas.

This study shows hydroxycitric acid inhibits oxalate nephropathies by reducing calcium oxalate crystal deposition and activating the PPARα pathway.

This study introduces a new microscopy technique combining deep learning and light-sheet design to visualize organelle interactions in live cells with high spatial and temporal resolution.

This study uses hyperspectral reflectance and machine learning to monitor water stress and predict photosynthetic traits in citrus trees under drought conditions.