Synopsis of recent research by authors named "Xinliang Li"
- Xinliang Li's recent research encompasses advancements in data-driven methodologies for toxicity prediction in drug discovery, highlighting the importance of early toxicity assessments and the evolution of modeling techniques and tools available in this field.
- The exploration of innovative energy storage systems, particularly through the development of high-performance static lithium-bromide batteries and halogen-powered static conversion batteries, focuses on enhancing efficiency via two-electron transfer chemistry and new cathode materials.
- Additionally, Li's work addresses practical applications in agricultural pest detection using advanced hybrid deep learning architectures and investigates the causal relationship between low follistatin levels and spontaneous abortion, contributing to both medical and agricultural domains.*
