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Eat4Genes: A Bioinformatic Rational Gene Targeting App to Address Pathologies using Healthy Diet

Eat4Genes is a prototype diet recommendation web app for patients, healthcare providers, and researchers that aids in the selection of a healthy diet to help treat and prevent numerous health conditions. Our approach is focused on the strategic use of diet to regulate key risk gene expression, which we call dietary rational gene targeting (DRGT).

Risky Business? Deep Dives into DeFi

We seek to investigate current patterns of usage in DeFi lending protocols, and quantify risk and user behaviors across various protocols. Our strategy is to exploit powerful AI models and technology developed for transaction data such as those arising in health and commerce. For example, we can utilize temporal clustering to characterize different types of users and then use these in a dashboard to understand how usage of lending protocols changes over time.

Temporal Analysis of Social Determinants Associated with COVID-19 Mortality

This study examines how social determinants associated with COVID-19 mortality change over time. Using US county-level data from July 5 and December 28, 2020, the effect of 19 high-risk factors on COVID-19 mortality rate was quantified at each time point with negative binomial mixed models. Then, these high-risk factors were used as controls in two association studies between 40 social determinants and COVID-19 mortality rates using data from the same time points. The results indicate that counties with certain ethnic minorities and age groups, immigrants, prevalence of diseases like pediatric asthma and diabetes and cardiovascular disease, socioeconomic inequalities, and higher social association are associated with increased COVID-19 mortality rates.

SCIENCE with Blockchain

This is a research project to develop a trustworthy, accountable, data sharing eco-system for biomedical research that utilizes knowledge representation and blockchain technologies to address the challenge of the costly and time-consuming effort needed to bring a biomedical innovation from the bench (basic research) to bedside (clinical level).
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