L2M – Wonder Guard: An Integrated Catheter Bag Module with Electrochemical Biosensing and Machine Learning for UTI Detection

Wonder Guard is an advanced catheter bag system that uses electrochemical biosensors and machine learning to detect urinary tract infections (UTIs). The device is a module add-on to existing hospital catheter systems that can continuously produce and analyze data to monitor UTIs, with faster results than standard urine cultures and richer insights than urine dipsticks. During this project, interviews with healthcare practitioners will be conducted, small-scale pilot studies will be developed, and the investment required to bring this invention to real-world use will be analyzed. By gaining these insights, the partner organization will have a clearer picture of how to manufacture and distribute Wonder Guard, how to meet healthcare standards, and how to prove that it minimizes infections. This process, ultimately, will lead to an infection-reducing, cost-saving product with better patient outcomes and lower hospital expenses.

Faculty Supervisor:

Leyla Soleymani

Student:

Partner:

DMZ Ventures Inc

Discipline:

Engineering

Sector:

Biotechnology; Health and Related Sciences & Technology

University:

McMaster University

Program:

Business Strategy Internship

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