Language has a critical role as a social determinant of health and a source of healthcare disparities. Rhetorical devices are ubiquitous in medicine and are often used to persuade or inform care team members. Rhetorical devices help a healthcare team acknowledge and interpret narratives. For example, metaphors are frequently used as rhetorical devices by patients to describe cancer, including winning or losing a battle, surviving a fight, war, potentially implying that the patient feels helpless like a pawn fighting in a struggle directed by the physician, thus reducing patient autonomy and agency. However, this occidental approach is flawed because it excessively focuses on the individual's agency and marginalizes external factors, such as cultural beliefs and social support (Sontag, 1989). Although there is a large body of research about how the rhetoric of medicine affects patients in the United States, there is a lack of such research about how patient experiences' rhetoric can help increase the understanding of Latino populations' unique social determinants. This creative project aims to analyze the rhetorical differences in the description of disease amongst Latino and American communities, translating to creating an educational module for a Spanish for biomedical sciences class. The objective is to increase future healthcare professionals' ability to understand how the composition of descriptions and medical rhetoric in different mediums of humanities can serve as critical tools to analyze social determinants in Latino healthcare delivery.

One of the largest problems facing modern medicine is drug resistance. Many classes of drugs can be rendered ineffective if their target is able to acquire beneficial mutations. While this is an excellent showcase of the power of evolution, it necessitates the development of increasingly stronger drugs to combat resistant pathogens. Not only is this strategy costly and time consuming, it is also unsustainable. To contend with this problem, many multi-drug treatment strategies are being explored. Previous studies have shown that resistance to some drug combinations is not possible, for example, resistance to a common antifungal drug, fluconazole, seems impossible in the presence of radicicol. We believe that in order to understand the viability of multi-drug strategies in combating drug resistance, we must understand the full spectrum of resistance mutations that an organism can develop, not just the most common ones. It is possible that rare mutations exist that are resistant to both drugs. Knowing the frequency of such mutations is important for making predictions about how problematic they will be when multi-drug strategies are used to treat human disease. This experiment aims to expand on previous research on the evolution of drug resistance in S. cerevisiae by using molecular barcodes to track ~100,000 evolving lineages simultaneously. The barcoded cells were evolved with serial transfers for seven weeks (200 generations) in three concentrations of the antifungal Fluconazole, three concentrations of the Hsp90 inhibitor Radicicol, and in four combinations of Fluconazole and Radicicol. Sequencing data was used to track barcode frequencies over the course of the evolution, allowing us to observe resistant lineages as they rise and quantify differences in resistance evolution across the different conditions. We were able to successfully observe over 100,000 replicates simultaneously, revealing many adaptive lineages in all conditions. Our results also show clear differences across drug concentrations and combinations, with the highest drug concentrations exhibiting distinct behaviors.