A system that uses machine learning to help socio-economically disadvantaged smokers quit smoking
Adapt2Quit – A Machine-Learning, Adaptive Motivational System: RCT for Socio-Economically Disadvantaged smokers”
['FUNDING_R01'] · UNIV OF MASSACHUSETTS MED SCH WORCESTER · NIH-10818471
This study is testing a smart messaging system called Adapt2Quit that sends personalized encouragement to help smokers quit, especially focusing on those who might need extra support, and it will see how well it works compared to regular messages.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIV OF MASSACHUSETTS MED SCH WORCESTER (nih funded) |
| Locations | 1 site (WORCESTER, UNITED STATES) |
| Trial ID | NIH-10818471 on ClinicalTrials.gov |
What this research studies
This research investigates Adapt2Quit, a machine-learning system designed to provide personalized motivational messages to help smokers quit. By analyzing individual smoker profiles and their feedback, the system adapts its messaging to improve engagement and effectiveness. The approach is innovative as it continuously learns from past smokers' experiences to enhance the relevance of its messages. The study will compare Adapt2Quit's effectiveness against a standard messaging system to evaluate its impact on smoking cessation, particularly among socio-economically disadvantaged smokers.
Who could benefit from this research
Good fit: Ideal candidates for this research are socio-economically disadvantaged individuals who smoke and are seeking to quit.
Not a fit: Patients who do not smoke or are not interested in quitting smoking may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly improve smoking cessation rates among socio-economically disadvantaged populations.
How similar studies have performed: Previous research has shown success with similar personalized messaging approaches, but this specific machine-learning application is novel.
Where this research is happening
WORCESTER, UNITED STATES
- UNIV OF MASSACHUSETTS MED SCH WORCESTER — WORCESTER, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: SADASIVAM, RAJANI — UNIV OF MASSACHUSETTS MED SCH WORCESTER
- Study coordinator: SADASIVAM, RAJANI
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.