Yoram Vodovotz B

Network Analysis of Rare Single-Nucleotide Polymorphisms Suggests a Central Role for Type 17 Immune Responses in Trauma-induced, Genotypically Associated Hypo-Inflammation and Critical Illness

The paper identifies rare SNPs associated with hypo-inflammation and adverse outcomes in trauma patients, highlighting type 17 immune responses as central to critical illness.

The Wound Environment Agent-based Model (WEABM): a digital twin platform for characterization and complex therapeutic discovery for volumetric muscle loss

This paper develops a digital twin platform, WEABM, to model VML healing and discover therapeutic strategies through simulation-based reinforcement learning.

Generating synthetic data with a mechanism-based Critical Illness Digital Twin: Demonstration for Post Traumatic Acute Respiratory Distress Syndrome

The paper demonstrates generating synthetic cytokine time series data using a Critical Illness Digital Twin to improve ML/AI predictive performance for post-traumatic acute respiratory distress syndrome.

Optical Biopsy using a neural network to predict functional state from photos of wounds

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%.