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
The study’s objective was to design, build, and test a full-scale, self-powered solar tracking mechanism incorporating a damper system to reduce wind flutter.
Glioblastoma multiforme (GBM) is the most common and aggressive type of primary brain tumor. Patients with GBM have a median survival of 15 months. Thus, treating GBM can be achieved by inhibiting the proliferation of the patient-derived cells using leaf extract of B. monnieri.
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.
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