Testing Whether GANs Can Generate Photorealistic Images from Rough Sketches

Generative adversarial networks (GANs) can generate images from rough sketches, potentially making image composition much more efficient than it is currently. However, the images from GANs are generally not photorealistic enough to be used in many real life applications. This project will attempt to make a GAN generate truly photorealistic images that can be used in real life applications.

How Variation in Response to Medication due to CYP450 Enzymes Affects Adverse Drug Reaction Rates (in Terms of Health and Healthcare Costs) Through Prevention of Adverse Drug Reaction?

Adverse Drug Reactions (ADRs), negative reactions to medication when used as prescribed, are responsible for many deaths each year in the United States. Estimates from different studies range from 7,000 deaths a year (courtesy of a study conducted by the Institute of Medicine in 2000) to as high as 106,000 a year, which would place ADRs as the fourth leading cause of death in the United States. ADRs place a burden on the collective health and the economy (Drug Interactions & Labeling 2016). Through accurate Adverse Drug Event and Adverse Drug Reaction reporting, researchers may determine the cause of adverse drug events and adverse drug reaction to reduce the burden of ADE and ADR. This project will attempt to determine the quality of the FDA Adverse Event Reporting System, and gauge its ability to aid researchers as they attempt to find problems in medications and their cause, by extension reducing ADE or ADR.

Solar Panels at Paly

This project will examine the feasability and impact of installing solar panels on the Paly campus. This is important to me because solar panels would let us reduce our carbon emissions and move to a more renewable energy source, which in turn will also help address global warming.

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