AI-powered adolescent diabetes prevention app gives clinicians tailored guidance to cut obesity risk.
An American Diabetes Association grant is backing an AI-powered adolescent diabetes prevention app that links teens, families, and clinicians. Built at the University at Buffalo with PreventScripts, the PrevenTeen project uses phone-based screening, goal setting, and remote monitoring to cut obesity risk and protect long-term heart and metabolic health in daily primary care.
More than 1 in 5 U.S. teens live with obesity. Many families want practical nutrition help, but they struggle to find it during short clinic visits. A new three-year grant to the University at Buffalo (UB) aims to change that by turning smartphones into simple tools that support daily healthy habits and improve cardiometabolic markers over time.
How the AI-powered adolescent diabetes prevention app will fit into care
Screening and guidance inside the visit
UB researcher Amanda Ziegler, PhD, and the Primary Care Research Institute will place structured screening surveys in routine visits and connect results to clinic systems. The app will help providers see clear, patient-specific lifestyle guidance without adding extra steps. This setup supports honest, non-stigmatizing conversations about food, activity, and sleep.
PrevenTeen functions as an AI-powered adolescent diabetes prevention app inside routine primary care. It gathers data teens already track on their phones, then helps the care team turn that information into small, steady changes the family can manage.
Tools teens will actually use
The project adapts a proven adult platform from PreventScripts for youth with input from local teens and parents. Features include:
Quick screening and check-ins synced with clinic records
Personal goals for eating, movement, sleep, and screen time
Remote monitoring to spot progress and barriers
Clinician-connected messages for timely support
Community feedback to keep content age-appropriate and motivating
Who is building it, and why now
The Jacobs School of Medicine and Biomedical Sciences at UB leads the work with partners at UBMD Pediatric Endocrinology at Conventus, Niagara Street Pediatrics, and Broadway Pediatrics. Co-investigators include Lucy D. Mastrandrea, MD, PhD; Teresa Quattrin, MD; and Sarah Ventre, MD.
This is implementation science in action. The team is not inventing yet another pilot that stays in the lab. They are moving tested methods into everyday clinics so families can benefit sooner.
PreventScripts has already shown gains in adult primary care patients, improving several cardiometabolic measures with strong patient satisfaction. Now, a youth-focused version will meet teens where they are: on their phones, in their homes, and during regular checkups.
What the study will test
Advisory first, trial second
The project starts with an advisory board of clinicians, teens, and family members. They will shape the app content and workflows so they fit busy visits and real home life. A small pilot will follow to confirm that the app is easy to use and engaging.
Randomized clinical trial
The final step is a randomized clinical trial with 72 teens who have obesity. Half will use the PrevenTeen mobile program. Half will receive enhanced usual care. Researchers will track weight-related measures and other cardiometabolic outcomes to see if the app drives measurable change.
Why families and clinicians can both benefit
Less guesswork, more action
Many clinicians want to help with nutrition and activity but report low confidence, few tools, and fear of shaming patients. With an AI-powered adolescent diabetes prevention app in hand, providers can start with the same brief surveys for all patients, then offer specific, doable steps based on each teen’s data.
Small wins add up
Teens do best with clear targets they can reach and see. The program focuses on actions that move the needle:
Swap sugary drinks with water most days of the week
Add 10–15 minutes of daily movement and grow from there
Set a steady sleep schedule to support appetite control
Track a few habits, not everything, to stay consistent
Connected support
Because the app links to clinic systems, the care team can see progress, send brief encouragement, and address barriers early. That steady touch can reduce missed visits and keep healthy changes going between appointments.
What success could look like
If the study meets its goals, clinics could:
Screen more teens for diabetes risk during routine visits
Deliver short, effective counseling backed by data
Improve weight, blood pressure, and other risk markers
Engage parents without blame, and teens without shame
Scale the model across pediatrics and family medicine
The bigger win is culture change. When everyday care includes a simple digital path for food, movement, and sleep, teens can build habits that protect health for life. Schools, community groups, and health plans could then plug into the same approach to reach more families.
This project shows promise because it pairs real-world clinic flow with tools teens already use. It respects time limits, keeps goals small, and focuses on results that matter.
Strong community ties in Buffalo, guidance from pediatric experts, and a clear testing plan raise the odds that lessons from this work will spread. If that happens, many more clinics could bring practical lifestyle care to the front line—and keep more teens out of the diabetes danger zone.
The ADA grant gives this effort the push it needs. With the right design and support, this AI-powered adolescent diabetes prevention app can help cut risk now and build healthier futures.
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FAQ
Q: What is the PrevenTeen project and how does the AI-powered adolescent diabetes prevention app aim to work?
A: The PrevenTeen project is a University at Buffalo initiative funded by a three-year American Diabetes Association grant to adapt an adult mobile health model for adolescents. This AI-powered adolescent diabetes prevention app will use smartphone screening, remote monitoring and artificial-intelligence support to connect teen-collected data with clinic systems and guide small, manageable lifestyle changes for teens and families.
Q: Who is leading the development of the AI-powered adolescent diabetes prevention app and who are the partners?
A: Amanda Ziegler, PhD, a research assistant professor at UB’s Jacobs School and the Primary Care Research Institute, leads the work in partnership with mobile health provider PreventScripts. Local clinical partners include UBMD Pediatric Endocrinology at Conventus, Niagara Street Pediatrics and Broadway Pediatrics, and co-investigators include Lucy D. Mastrandrea, Teresa Quattrin and Sarah Ventre.
Q: How will the app be integrated into routine primary care visits?
A: The app will place structured screening surveys into routine visits and connect results to clinic systems so providers can access patient-specific lifestyle guidance without extra steps. That setup is intended to support honest, non-stigmatizing conversations about food, activity and sleep and to make counseling more digestible rather than burdensome.
Q: What features will teens and families use in the AI-powered adolescent diabetes prevention app?
A: Features include quick screening and check-ins synced with clinic records, personalized goals for eating, movement, sleep and screen time, remote monitoring to spot progress and clinician-connected messaging for timely support. The program adapts PreventScripts’ adult platform with community-based input to keep content age-appropriate and engaging for teens and parents.
Q: How will researchers test the app for usability and clinical impact?
A: Researchers will first convene an advisory board of clinicians, teens and family members to shape app content and workflows, then run a small pilot to confirm the program is easy to use and engaging. The final test is a randomized clinical trial of 72 adolescents with obesity who will receive either the PrevenTeen mobile intervention or enhanced usual care while investigators track weight-related and other cardiometabolic outcomes.
Q: Why do clinicians and families need an AI-powered adolescent diabetes prevention app in care?
A: Many clinicians are asked for nutrition advice but report low confidence and few supportive tools, which can lead them to avoid the topic because of stigma concerns. The app standardizes initial screening and gives patient-specific guidance so counseling can be more effective, approachable and less burdensome during routine visits.
Q: What specific outcomes will the PrevenTeen study measure to determine success?
A: Investigators will track weight-related measures, blood pressure and other cardiometabolic outcomes to see whether the mobile intervention drives measurable change. They will also assess usability and engagement during early pilot testing and use remote monitoring to identify progress and barriers between visits.
Q: If the study meets its goals, how might this AI-powered adolescent diabetes prevention app be scaled or used elsewhere?
A: If the trial meets its goals, clinics could screen more teens for diabetes risk during routine visits and deliver brief, data-backed counseling that aims to improve weight and other risk markers. The model could be scaled across pediatrics and family medicine and potentially linked with schools, community groups and health plans to reach more families.