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Biomedical Engineering<br />

NeuroNotice<br />

Golda Daphna, Luis Muncharaz Duran, Kalsoum Mbacke,<br />

Rhea Sablani, Elaine Tan<br />

Peripheral neuropathy (PN) is a common consequence of diabetes marked by damage to peripheral<br />

nerves. PN usually originates in the extremities (hands and feet,) and if left undiagnosed can lead<br />

to infections, amputation, and life-threatening illness. Current diagnostic procedures include<br />

electromyograms and nerve conduction studies. However, the high cost, inconvenience, and<br />

invasiveness associated with these procedures may deter at-risk patients from regularly getting<br />

checked for PN. We propose NeuroNotice, an affordable, at-home, and user-friendly solution that<br />

allows patients to monitor symptoms of PN. NeuroNotice is a size-adjustable device that randomly<br />

stimulates, via vibration, regions of the foot. Users respond based on whether they detect the<br />

stimulation, indicating potential loss of sensation that would occur with PN. Acquired data will be<br />

presented in a simple graphical interface. Initial prototype testing demonstrates that NeuroNotice<br />

can successfully determine a difference between healthy and simulated symptomatic feet, thereby<br />

allowing for frequent tracking of PN and supporting physicians’ continuous monitoring of<br />

neuropathy.<br />

deSTIgma: A Digital STI Test Recommendation Platform<br />

Susanna Baek, Katharyn Fatehi, Andy Garcia, Vivian Shi, Ruxandra Tonea<br />

Despite the many medical advances of the last decade, sexually transmitted infections and diseases<br />

(STIs) continue to pose a significant public health issue, with cases increasing continuously for 7<br />

years up to 2020. STI testing, which typically requires an in-person clinic visit, can be inaccessible<br />

due to time, travel, and financial limitations. Due to a lack of education and awareness, STIs are<br />

also highly stigmatized. The deSTIgma STI Test Recommendation Digital Platform streamlines<br />

the STI test-seeking process with a test recommendation questionnaire, clinic map, and educational<br />

resources in an app and website. The questionnaire uses relevant medical history, sexual activity<br />

history, and symptoms to inform and guide users to appropriate tests and resources in NYC. The<br />

machine-learning-based algorithm, stored on a HIPAA approved platform, may be trained with<br />

real patient data, pending IRB approval. deSTIgma aims to make STI testing an easily accessible<br />

component of regular healthcare for all.<br />

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