The development of an algorithm through the assessment of nutrients in a recycled food supplement for canines.
This study is the first to apply deep learning to analyze tumor-associated stroma, discovering novel diagnostic biomarkers for breast cancer.
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
Global warming is a significant threat to modern society caused by the burning of fossil fuels in order to meet everyday energy requirements. Renewable clean energy solutions such as solar and wind power are not as high-producing as carbon-based sources, but hydrogen-based electric energy is a viable alternative. This project focuses on finding alternatives to platinum for proton exchange membrane fuel cells.
Wearable low power biometric devices and body sensor network systems (BSNs) such as heart, respiration, and activity monitors are popular devices that are predicted to increase tenfold by 2018. This project focused on biomechanical energy harvesting from rib cage expansion using piezoelectric materials and frequency up conversion to power wearable microelectronics.
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