This study demonstrates correlation between economic trends and changes in markets. They also show that CAPE downside management is effective in combination with a delay and dynamic asset allocation.
This study is the first to apply deep learning to analyze tumor-associated stroma, discovering novel diagnostic biomarkers for breast cancer.
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.
Osteosarcoma, a bone tumor of childhood, is lethal when unresponsive to chemotherapy. ER stress response, a cell survival mechanism that is triggered upon exposure to stressors such as chemotherapy, is one of the ways a tumor becomes resistant to chemotherapy. This project explores novel methods of producing a noncytotoxic EGFP-ATF6 construct to signal Endoplasmic Reticulum stress response.
Oral Squamous Cell Carcinoma (OSCC) is a cancer of the mouth epithelium with an annual incidence rate in the US of nearly 48,000 cases annually and a 5-year survival rate of only 65%. Cancer stem cells (CSCs) are believed to be responsible for progression of OSCC. The project’s main goal is to observe the effect of Wnt/β-catenin signaling inhibition on oral squamous cell carcinoma.
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