In this study, the author engineers novel gelatin-NIPAM-graphene hydrogels and new, powerful computational tools to enhance precision cardiovascular medicine. Engineering Injectable, Conductive Hydrogels doped with Graphene and Graphene Oxide Nanoparticles for Post-MI Cardiac Tissue Engineering and Robust Drug Discovery: A Computationally-Aided Investigation for Enhancing Therapeutic Efficacy
RNA-based viruses and bacteria have been sources of large-scale epidemics and pandemics, most notably Ebola, SARS, influenza, hepatitis C, HIV, and the Zika Virus. Normal detection of these biological agents requires multiple lab processes. This project aims to develop a fully integrated lab-on-a-chip device to accomplish this.
This interdisciplinary study develops a novel prognostic for Diabetic Retinopathy (DR) by modeling hypertensive changes at arterial-venous (AV) crossings
This study is the first to apply deep learning to analyze tumor-associated stroma, discovering novel diagnostic biomarkers for breast cancer.
The purpose of the project is to determine the effects of catalysts on the depolymerization of chitin using ionic liquids.
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