Marcella M. Gomez

DeepMapper: Attention-Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

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

Fluoxetine Delivery for Wound Treatment Through an Integrated Bioelectronic Device - Pharmacokinetic Parameters and Safety Profile in Swine

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.

Development of a wireless bioelectronic actuator for wound healing in a porcine model

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.

Accelerating Wound Healing Through Deep Reinforcement Learning: A Data-Driven Approach to Optimal Treatment

This paper develops a deep reinforcement learning framework for real-time wound healing treatment optimization, showing 17.71% acceleration in in silico experiments and 40% in vivo.

Predicting neuronal firing from calcium imaging using a control theoretic approach

This paper introduces a control-theoretic framework to predict neuronal firing from calcium imaging data, achieving real-time performance and interpretability.

Remote-Controlled Wireless Bioelectronics for Fluoxetine Therapy to Promote Wound Healing in a Porcine Model

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.

Design and Validation of a Wearable Imaging System for Automated Wound Monitoring in Porcine Model

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

Delivering biochemicals with precision using bioelectronic devices enhanced with feedback control

The paper demonstrates the use of a sliding mode controller in a bioelectronic device to deliver a pre-determined dosage of fluoxetine with precision over time.

Quantifying innervation facilitated by deep learning in wound healing

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.

Automatic wound detection and size estimation using deep learning algorithms

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.

Effective spatio-temporal regimes for wound treatment by way of macrophage polarization: A mathematical model

This paper develops a mathematical model to identify optimal spatio-temporal regimes for wound treatment by analyzing macrophage polarization dynamics.

Investigating the dynamics of microbial consortia in spatially structured environments

This study uses a microfluidic platform to quantify how spatial arrangement affects gene expression and growth in microbial consortia, showing distance acts as a low-pass filter and feedback mechanisms influence synchronization.