Synopsis of recent research by authors named "ZiYang Li"
- Ziyang Li's recent research spans diverse fields including molecular biology, machine learning in health, and materials science, focusing on both practical applications and fundamental insights into biological and physical processes.
- Key findings involve identifying potential regulatory targets in goat kidding traits through multi-omics analysis, utilizing crowd-sourced machine learning to predict long COVID risk, and uncovering dynamic magnetic properties in van der Waals ferromagnets like FeGaTe.
- His work further explores advanced techniques such as metagenomic sequencing for pathogen detection in infections, the synthesis of novel photocatalytic materials, and mechanisms underlying spinal cord injury and osteoarthritis, indicating an interdisciplinary approach toward enhancing diagnostic and therapeutic methods.
