336 Participants Needed

AI-Optimized Weight Loss Treatment for Obesity

(ReLearn Trial)

OH
ZH
RS
Overseen ByRachel Shannon, BA
Age: 18+
Sex: Any
Trial Phase: Academic
Sponsor: Drexel University
No Placebo GroupAll trial participants will receive the active study treatment (no placebo)

What You Need to Know Before You Apply

What is the purpose of this trial?

This trial is testing a smart computer program that helps people lose weight by giving them personalized advice. It tracks their progress and provides the best support based on individual responses. The goal is to see if this method is more effective and cheaper than traditional weight loss coaching.

Will I have to stop taking my current medications?

The trial does not specify if you need to stop taking your current medications. However, if you recently started or changed the dosage of a medication that affects weight, you may not be eligible to participate.

Is the AI-optimized weight loss treatment safe for humans?

The AI-optimized weight loss treatment has been tested in studies and found to be feasible and acceptable to participants, with no specific safety concerns reported. It uses artificial intelligence to adjust the intensity of interventions based on individual responses, aiming to achieve weight loss at a lower cost.12345

How is the AI-optimized Behavioral Weight Loss Treatment different from other weight loss treatments?

The AI-optimized Behavioral Weight Loss Treatment uses artificial intelligence, specifically reinforcement learning, to tailor the intensity of weight loss interventions based on individual responses, reducing the need for frequent expert coaching while maintaining similar weight loss results at a lower cost.12567

What data supports the effectiveness of the AI-optimized Behavioral Weight Loss Treatment for obesity?

Research shows that using artificial intelligence (AI) to optimize weight loss treatment can achieve similar weight loss results as traditional methods but with less time and cost. In a study, participants using AI required only one-third of the coaching time compared to standard treatment, yet experienced nearly the same weight loss.12348

Who Is on the Research Team?

EM

Evan M Forman, PhD

Principal Investigator

Drexel University Center for Weight, Eating and Lifestyle Science

Are You a Good Fit for This Trial?

Adults aged 18-70 with a BMI of 27-50 kg/m², able to walk two city blocks and engage in remote weight loss programs using a smartphone. Excludes those with certain medical conditions, recent significant weight loss, or changes in medications affecting weight.

Inclusion Criteria

Individuals must also provide consent for the research team to contact their personal physician if necessary, to provide clearance or to consult about rapid weight loss
I can and will use a smartphone.
I am willing and able to participate in a remote program.
See 3 more

Exclusion Criteria

I recently started or changed the dose of a medication that may significantly affect my weight.
I have had weight loss surgery in the past.
I have lost more than 5% of my weight in the last 3 months.
See 2 more

Timeline for a Trial Participant

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Treatment

Participants receive either a 1-year weekly gold standard behavioral weight loss remote group treatment or an AI-optimized treatment

52 weeks
Weekly remote sessions

Follow-up

Participants are monitored for safety and effectiveness after treatment

12 months

What Are the Treatments Tested in This Trial?

Interventions

  • AI-optimized Behavioral Weight Loss Treatment
  • Standard Behavioral Weight Loss Treatment
Trial Overview Project ReLearn is comparing standard behavioral treatment for weight loss against an AI-optimized version that adapts weekly based on participant responses using mobile and wearable tech over one year.
How Is the Trial Designed?
2Treatment groups
Experimental Treatment
Active Control
Group I: BWL-AIExperimental Treatment1 Intervention
Group II: BWL-SActive Control1 Intervention

Find a Clinic Near You

Who Is Running the Clinical Trial?

Drexel University

Lead Sponsor

Trials
160
Recruited
48,600+

Published Research Related to This Trial

In a study involving 468 adults with obesity, participants who switched to portion-controlled meals (PCM) after being identified as suboptimal responders to standard behavioral weight loss treatment (SBT) lost more weight at 6 months compared to those who switched to acceptance-based treatment (ABT), although the difference was not statistically significant.
Identifying suboptimal responders as early as Session 3 of treatment led to greater weight loss in those switched to PCM compared to those identified later, suggesting that early intervention may enhance the effectiveness of weight loss strategies.
BestFIT Sequential Multiple Assignment Randomized Trial Results: A SMART Approach to Developing Individualized Weight Loss Treatment Sequences.Sherwood, NE., Crain, AL., Seburg, EM., et al.[2022]
A study involving 154 overweight or obese patients showed that those referred to an automated Internet-based behavioral weight-loss intervention lost significantly more weight than those in an education-only control group, with average losses of 5.5 kg at 3 months and 5.4 kg at 6 months.
Over half of the participants in the Internet-based intervention achieved a clinically significant weight loss of 5% or more of their initial body weight, indicating the intervention's effectiveness in promoting weight control behaviors.
An automated internet behavioral weight-loss program by physician referral: a randomized controlled trial.Thomas, JG., Leahey, TM., Wing, RR.[2022]
A new study will evaluate whether a 12-month weight loss program using reinforcement learning (AI) can achieve similar weight loss results as traditional behavioral weight loss methods, but at a lower cost, involving 336 adults with overweight or obesity.
Preliminary results showed that participants using the AI system needed significantly less coaching while achieving nearly the same weight loss as those in the standard program, suggesting that AI could make weight loss support more accessible.
Using artificial intelligence to optimize delivery of weight loss treatment: Protocol for an efficacy and cost-effectiveness trial.Forman, EM., Berry, MP., Butryn, ML., et al.[2023]

Citations

BestFIT Sequential Multiple Assignment Randomized Trial Results: A SMART Approach to Developing Individualized Weight Loss Treatment Sequences. [2022]
Predicting weight loss success on a new Nordic diet: an untargeted multi-platform metabolomics and machine learning approach. [2023]
An automated internet behavioral weight-loss program by physician referral: a randomized controlled trial. [2022]
Using artificial intelligence to optimize delivery of weight loss treatment: Protocol for an efficacy and cost-effectiveness trial. [2023]
Can the artificial intelligence technique of reinforcement learning use continuously-monitored digital data to optimize treatment for weight loss? [2020]
The Use of Artificial Intelligence-Based Conversational Agents (Chatbots) for Weight Loss: Scoping Review and Practical Recommendations. [2022]
Optimizing a Just-in-Time Adaptive Intervention to Improve Dietary Adherence in Behavioral Obesity Treatment: Protocol for a Microrandomized Trial. [2022]
A Factorial Experiment to Optimize Remotely Delivered Behavioral Treatment for Obesity: Results of the Opt-IN Study. [2021]
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