ChitoAid is a biocompatible and antibacterial bandage using chitosan and zwitterionic nanoparticles. This project was by Lauren Drake, Kemi Oladuja, and Ariella Schneider.

Abstract and Final Paper

FISH n Chips is a low-cost fluorescent imaging system for RNA FISH microfluidic chips for diagnosing HIV, using sophisticated imaging and deep learning techniques. This project was by Michelangella Arbocco, Jared Marks, Alexander Silva, and Sanjana Vasudevan.

Abstract and Final Paper | Appendix

Pulmoscope uses machine learning to detect and differentiate pneumonia and COPD using a recording stethoscope. This project was by Steven Hamel, Annemarie Jacob, and Rishika Sharma.

Abstract and Final Paper

Aradia is an undergarment with a rechargeable heating pad to alleviate menstrual cramps. This project was created by Sophie Burkholder, Emma Cruz, Jessica Dubuque, and Emily Johnson.

Abstract and Final Paper

relieVR is a bioresponsive virtual reality (VR) system for treating lower urinary tract dysfunction. This project was created by Nicole Chiou, Gabe DeSantis, Ben Habermeyer, and Vera Lee.

RelieVR was the 2nd Place Winner of the 2020 International Johns Hopkins Healthcare Design Competition Digital Health Track and winner of the 2019 Berkman Prize for Innovation at Penn Engineering.

Abstract and Final Paper

SepSpec uses colorimetric and spectrophotometric methods using a wax-based paper microfluidic device for low-cost Sepsis detection. This project was created by Fabio Alvarado, Alina Rashid, and Jorge Reyes-Arbujas.

Abstract and Final Paper

MEECS allows for dual monitoring of ECG and EEG, which is then transmitted wirelessly, to identify causes of Syncope. This project is by Andrew Clark, Angelica Du, Seth Fein, and Evan Paregol.

Abstract and Final Paper

MIYAGI is an open-source wax printer for paper microfluidics using a low-cost 3D printer. This team consisted of John Bellwoar, Griffin Murphy, Katherine Simms, and Danielle Tsougarakis. This team participated in the 2019 iGEM competition.

Abstract and Final Paper

UltraEase is a device which uses optical sensors and software to allow for consistent ultrasound measurements for measuring muscle atrophy. This team included Lucas Almada-Sabate, Joseph Iwasyk, Megan Saunders, Matthew Steinberg, and Arielle Stern.

Abstract and Final Paper

SchistoSpot, is a device by Alec Bayliff (BE), Bram Bruno (CIS), Justin Swirbul (CIS), and Vishal Tien (BE), which uses microfluidics, deep learning, and AI to automate the diagnosis of schistosomiasis.

This team also won the "Pioneer Award" at Penn Health-Tech's Rothberg Catalyzer in 2019.

Abstract and Final Paper

RAMSES (Real Time Alerting and Monitoring System for Epilepsy & Seizures) uses machine learning techniques to monitor and alert, in real time, patients who suffer from epilepsy and seizures. This project was created by Elom Dumenyo (CIS), Nathaniel Nyema (BE), Olaoluwa Owoputi, and Shyon Small.

Abstract and Final Paper

Al-Band is a wearable for children which will alert parents if the user experiences a severe allergic reaction through SMS. This project was developed by Javier Peraza (BE), Connor Fenn (MEAM), Ryan Nguyen (BE), and Dan Truong (CIS).

Abstract and Final Paper

Relila is a 3-in-1 pad that provides hospital-level care into one discrete product for postpartum care using novel biomaterials. It was developed by Caroline Raquel (BE M&T), Alisa Bhakta (BE), Alexander Connor (BE), Lauren McLeod (BE), and Alexa Murray (ESE).

Relila won 2nd place at the 2020 M&T Summit.

Abstract and Final Paper