Maya Eusebio

Maya Eusebio

Biography

Maya Eusebio is a Computer Science major at the University of Central Florida with a minor in International Engineering from the Australian National University. Maya has collaborated with local artists to develop programmable concert visuals, compete in wearable-tech hackathons, and design capsule fashion collections using home-grown bio-textiles. Maya works as a teaching assistant, lab instructor, and undergraduate researcher at the Interactive Systems and User Interfaces Lab at UCF, focusing on programmable matter and tangible interfaces. Ongoing projects include her thesis on a shape-changing textile interface, an independent study on Australian and Latin American indigenous sovereignty, workshops on biomaterials, and work with local food justice initiatives. Last summer, Maya interned with the Conformable Decoders lab at MIT to optimize an in vivo transmucosal drug delivery platform for women’s health. This summer, she returned to the Conformable Decoders lab to characterize a novel ultrasound device for accessible and wearable breast cancer diagnosis Maya aims to pursue an interdisciplinary graduate career centering globally marginalized communities and developing technologies that challenge culturally accepted divisions between humanity, technology, and nature.

Abstract

Tissue Deformation in Breast Ultrasonography: Conformable Decoders Patch Leads in Comfor5t and Accuracy Against Traditional Arrays

Traditional breast cancer screening methods are notoriously uncomfortable due to the force applied by ultrasound probes. On top of causing discomfort, this force can deform or conceal dense tumor tissue, increasing the risk of misdiagnosis. The Conformable Ultrasound Breast (cUSBr) Probe by the Conformable Decoders aims to produce high quality images while minimizing applied pressure and reducing deformation. Here, we recorded images of a phantom breast tumor applying a range of 0-11 N of force with both the cUSBr probe and a handheld linear array. The contrast-to-noise ratios of the images were used to determine the lowest force necessary to obtain a quality image of the tumor, and pressure was compared over the surface area of each probe head. Additionally, analysis of the tumor position across all images was used to compare tissue deformation caused by each probe. Results show that the cUSBr probe can produce a clear image with 62% less pressure and visibly less deformation. These results validate that a more comfortable and accurate system is feasible for facilitating regular breast cancer screenings, increasing early detection rates. They also encourage a shift in feminine health practice to prioritize quality of experience over leaving historically inadequate systems in place.