Mol-Detox: Reducing Animal Testing using AI via Molecule Detoxification wins Rep. Michael Lawler’s 2025 Congressional App Challenge in New York’s 17th District.
Rep. Michael Lawler has named Aadhya Vijil of Horace Greeley High School as the winner of the 2025 Congressional App Challenge in New York’s 17th District. Their app Mol-Detox uses a machine learning model to predict whether a molecule is likely to be toxic or not, and then redesigns the molecule to eliminate its toxicity.
When asked what inspired the creation of Mol-Detox: Reducing Animal Testing using AI via Molecule Detoxification, Aadhya Vijil said, “What inspired me to create this app began with something I saw almost by accident. I saw a video describing how thousands of beagles are used in pharmaceutical labs for toxicity testing each year. I had always known that animals were used in research, but I didn’t understand the scale or the actual reality of it. Beagles are chosen because they are gentle and easy to handle, which made the situation feel even more upsetting.
‘As I read more about it, I realized that most of these dogs are euthanized after these experiments end. I remember feeling shocked and wondering if there was any way to reduce how much animal testing is needed. Around the same time, there were also many news articles about how AI was being used to design new drugs, with nobel prizes awarded to computer scientists who worked in drug discovery. This made me realize that drug discovery is no longer only something that happens in labs with people wearing lab coats, it is increasingly happening on computers. When I had the opportunity to do science research last summer, I studied computer algorithms that are used in the medical field.
‘Toxicity is one of the main reasons drugs fail and the main reason to perform animal testing. Sometimes a drug works really well but has one harmful side effect, so it gets completely discarded. I started to wonder that instead of throwing these molecules away, would it be possible to just adjust them slightly so they become safer? My app does exactly that. It uses toxicity prediction models along with genetic algorithms to suggest safer versions of molecules. My hope is that tools like this can reduce the need for animal testing and help researchers design drugs that are both effective and safe, while also protecting animals like those beagles that first inspired me to start this project.”
The 2025 Congressional App Challenge marked another record-setting year for the program. A total of 394 Members of the U.S. House of Representatives hosted App Challenges in their congressional districts, the highest level of participation in the program’s history. More than 13,800 students from across the country participated, submitting over 4,600 original apps focused on real-world challenges ranging from health and accessibility to education, sustainability, and civic engagement.
The Congressional App Challenge is an official initiative of the U.S. House of Representatives that encourages middle school and high school students to learn to code, explore computer science, and build practical technology solutions for their communities. Each participating Member of Congress selects a winning app from their district, and winning teams are invited to showcase their projects to Members of Congress, staff, and industry leaders at the annual #HouseOfCode celebration on Capitol Hill.
The Challenge is proudly bipartisan and reflects a shared commitment to expanding access to STEM education and preparing the next generation of American innovators for the future workforce. The program is a public-private partnership made possible through funding from the Broadcom Foundation, AWS, Infosys Foundation USA, theCoderSchool, Apple, and others.
The 2026 Congressional App Challenge will launch in May, and eligible students can pre-register for the competition now.
