CURRENT PROJECTS

This year, UT BIOME has two device teams and one computation team. They are all in the process of scoping and defining their projects. Check back here soon for more updates!

PAST PROJECTS

2020-2021:
AI MODEL TO PREDICT SENIOR FALLS USING WEARABLE SENSORS
Project Members: Dhana Abdo, Gerry Chen, Anne Jing, Katherine Zhu (formerly)
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​Around one third of the senior population (individuals above the age of 65) falls each year and 87% of all senior fractures are caused by falls [1]. In order for seniors to have independent living and their loved ones to have peace of mind, a device that can detect falls is incredibly helpful. This project aims to create an AI model which can predict senior falls using sensors that worn by the senior.
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[1] “Canada's Seniors and Falls: Statistics and Prevention,” Comfort Keepers, 31-May-2016. [Online]. Available: https://www.comfortkeepers.ca/canadas-seniors-falls-statistics-prevention/. [Accessed: Sep-2020]. ​
non-invasive airway mucus blockage clearer
​Project Lead: Maggie Vuong
Project Members: Christal Chan, Darsh Jain, Hafsa Sohail, Saif Rjaibi, and Jenny Wei

Mucus along the airway can cause severe breathing problems, and in the case of complete blockages death, in patients with cystic fibrosis. This project aims to create a non-invasive method of clearing these blockages. The team is also exploring additional applications of the device with multiple sclerosis (MS) and amyotrophic lateral sclerosis (ALS) patients.
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Previous Years
Rehabilitative Ankle/wrist patch
Project Lead: Justin Chai
Project Members: Sabrina Cupryk, Bipasha Goyal, Shreya Gupta, Deeksha Tewari, and Masum Billah
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​Non-adherence to rehabilitative exercises is as high as 50% [1]. This can have significantly poor effects on rehabilitation treatment and extend the length of the treatment. The ability for patients to see whether they are completing the exercise as prescribed is an added comfort to the patient and has the potential to improve exercise adherence. This project developed a patch to attach to the patient's ankle or wrist and would shine a green light when the exercise is conducted properly and a red light when the exercise is conducted improperly.

​[1] R. Argent, A. Daly, and B. Caulfield, “Patient Involvement With Home-Based Exercise Programs: Can Connected Health Interventions Influence Adherence?,” JMIR mHealth and uHealth, 01-Mar-2018. [Online]. Available: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5856927/. [Accessed: Sep-2020]. 
Low-Cost, above-knee leg prosthetic
Project Lead: Jake Sinopoli
Project Members: Jasmine Al-Sayegh, Sarp Kavalcioglu, Adam Koa, Joshua Madero, Chloe Oriotis, and Samuel Weninger
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​The team was looking to design a low cost above the knee prosthetic focusing on utilizing 3D printing for the design. 3D printing makes the design easy to manufacture and low cost which were the aspects the team was trying to focus on. In future iterations the design would be improved by focusing on how 3D printing could be used to customized the socket connection of the prosthetic to improve comfort for the user.