Dataset for "Machine Learning–Guided Design of Mechanoadaptive Bioglues for Multi-Tissue Trauma and First-Aid Applications"

This repository contains the raw data underlying the findings of the study published in Nature Biomedical Engineering, entitled "Machine Learning–Guided Design of Mechanoadaptive Bioglues for Multi-Tissue Trauma and First-Aid Applications". The study presents TuneGlues, a suite of polyurethane-based bioglues with customizable mechanical properties engineered for multi-tissue trauma repair. By leveraging machine learning, task-oriented correlations between bioglue formulation parameters and target tissue characteristics are established, enabling precise optimization of adhesive performance for specific tissue targets. Specifically, this repository includes the raw source data corresponding to main text Figure panels 2f, 2g, 2h, 2j, 3d, 4d, 4f, 5f, and 5l.