Hsin‐ya Yang

This paper proposes a deep learning-based control framework for wound healing that accelerates closure by 17.71% in simulations and 40% in vivo.

This study compares fluoxetine delivery via a bioelectronic device to topical bolus dosing in swine wounds, showing higher tissue concentrations and safety with the device.

This paper develops a wireless bioelectronic actuator for wound healing in pigs, showing reduced M1/M2 macrophage ratio and increased re-epithelialization in treated wounds.

This paper develops a remote-controlled wireless bioelectronic system for delivering fluoxetine to promote wound healing in pigs, showing improved re-epithelialization and reduced inflammation.

The paper presents a wearable imaging system for automated wound monitoring in pigs, validated to capture and analyze wound progression using machine learning.

This study uses deep learning to quantify innervation changes during wound healing in mice, finding a strong correlation between nerve fiber density and re-epithelization.

This paper develops a deep learning pipeline for automatic wound detection and size estimation in lab mice images, showing high fidelity results with minimal human intervention.