Stephen F. Badylak

The paper introduces MERLIN, a sensor for real-time, localized NO detection in wounds, showing NO peaks on day 3 post-injury in rat models.

The paper investigates regenerative versus non-regenerative outcomes after mouse digit amputation by analyzing the wound bed's transcriptomic landscape and immune microenvironment, identifying key transcription factors and developing a predictive AI model.

This study evaluates a hydrogel with porosity and extracellular matrix digest in a rat myocardial infarction model, showing improved cardiac function and neovascularization compared to other hydrogels and PBS.

This paper introduces CAD-LB, a microfluidic technique for rapid EV biomarker assessment, validated on nanoparticles, purified EVs, and clinical plasma samples.

This paper uses a convolutional Siamese neural network to predict wound functional states from images in a canine model, achieving MAPE between 5% and 50%.