Atherosclerosis and subsequent cardiovascular disease causes nearly one-third of all deaths in the world. Unfortunately, atherosclerosis commonly remains asymptomatic for decades, and is properly diagnosed only after a severe, life-threatening cardiac event. Thus, a portable, low‐cost tattoo‐based biosensor for the non‐invasive self‐diagnosis and quantification of atherosclerosis was developed.
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
The researcher developed a Smart Flood sensor that can not only help identify drain openings that are getting clogged in real-time, but can also determine areas where more drain pipes are needed.
This study is the first to apply deep learning to analyze tumor-associated stroma, discovering novel diagnostic biomarkers for breast cancer.
The development of an algorithm through the assessment of nutrients in a recycled food supplement for canines.
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