UW-Stout food science students use AI tools to develop supplement concepts for GLP-1 medication users

Seven UW-Stout graduate students used ChatGPT to design dietary supplements for Ozempic and Wegovy users, presenting three concepts at Research Day on May 5. Students verified all AI-generated findings against peer-reviewed sources.

Categorized in: AI News Product Development
Published on: May 01, 2026
UW-Stout food science students use AI tools to develop supplement concepts for GLP-1 medication users

UW-Stout Food Science Students Use AI to Design GLP-1 Dietary Supplements

Seven graduate students at University of Wisconsin-Stout are developing functional food concepts for users of GLP-1 medications like Ozempic and Wegovy, using ChatGPT and other AI tools to accelerate early-stage research and design. The students present their work at UW-Stout's Research Day on May 5.

The project emerged from a straightforward market observation. Professor Eun Joo Lee, program director of food science technology, noticed at a professional conference last summer that both GLP-1 adoption and food company interest in this consumer segment were accelerating rapidly. Companies are developing products specifically for users experiencing reduced appetite, early satiety, and gastrointestinal discomfort.

Students used AI tools to define target consumer groups, identify nutrition-related needs, analyze current market offerings, organize examples, and develop search strategies. They also used AI to evaluate ingredient feasibility and review scientific literature on claims and labeling.

But the students verified everything. All scientific and market information came from peer-reviewed literature, actual product data, and credible sources. Final decisions remained the students' responsibility, not the AI's.

Three Product Concepts

Gut Balance PHGG Calm Bites: One group designed chewable fiber bites using partially hydrolyzed guar gum (PHGG), a water-soluble prebiotic made from guar beans. The formula includes ginger and fennel extracts to reduce nausea and bloating, peppermint oil for muscle relaxation in the digestive tract, and probiotics. The concept targets GLP-1 users struggling with constipation and bloating.

Mama Bear Hydrogel: Another team developed a vegan protein gel pouch for women ages 35 to 55 using potato protein isolate and konjac glucomannan fiber. Their research found that lean body mass can account for up to 40 percent of total weight loss during GLP-1 therapy. The team noticed most protein products on the market are animal-based, which can cause bloating. Their hydrogel addresses that gap.

Synbiotic Nutrient Shot: A third group proposed a 60ml shot combining PHGG, pea protein, and probiotics. The concept is based on emerging research suggesting certain prebiotic fibers and beneficial gut microbes may support endogenous GLP-1 signaling. The students framed this as a functional food strategy, not a medication replacement. A nutrient shot would cost less than comparable products currently available.

What Students Learned About AI in Product Development

Students found AI useful for brainstorming, organizing ideas, generating poster images, and identifying market gaps. But they learned quickly that AI outputs require verification against credible sources.

"We used the AI tools more to help organize and refine our jumbled thoughts," said Sakshi Amreliya, a student researcher. "The process was interesting, but we don't rely 100 percent on it."

Another student noted that AI helped gather information quickly, but the real work was integrating those methods into actual research. The students used AI for product development as a research accelerator, not a replacement for critical thinking.

The takeaway for product development professionals: AI tools handle organization and preliminary research efficiently. The human judgment required for scientific validation, market analysis, and strategic decisions cannot be automated.


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