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
This study is the first to apply deep learning to analyze tumor-associated stroma, discovering novel diagnostic biomarkers for breast cancer.
Antibiotics have been extensively used to treat patients with infectious diseases for the last 70 years. As these drugs have been used widely for long time, the organisms the antibiotics are designed to kill have adapted to them, making the drugs less effective. This can be prevented through selective separation, identification and eradication using fluorescent, magnetic multifunctional carbon dots.
The development of an algorithm through the assessment of nutrients in a recycled food supplement for canines.
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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