Synthesizing Mind-Sets for Participants Undergoing Clinical Trials — The Case of Weight Loss Drugs

Authors

  • Howard R. Moskowitz Cognitive Behavioral Insights, LLC, Albany, NY, USA Author
  • Sunaina Saharan Government Medical College, Patiala, India Author
  • Stephen D Rappaport Stephen D. Rappaport Consulting LLC, Norwalk, CT, USA Author
  • Taylor Mulvey St. Thomas More School, Oakdale, CT, USA Author
  • Sharon Wingert Tactical Data Group, Stafford, VA, USA Author
  • Tonya Anderson Tactical Data Group, Stafford, VA, USA Author
  • Martin Mulvey Cognitive Behavioral Insights, LLC, Albany, NY, USA Author

DOI:

https://doi.org/10.33425/2768-4598.1041

Keywords:

artificial intelligence, weight loss drugs, synthesized

Abstract

The paper focuses on the synthesis of mind-sets for patients who are undergoing clinical trials with weight-reducing drugs. The objective is to demonstrate how LLMs, large language models, can be combined with Mind Genomics thinking to better understand how patients in these clinical trials may think. Although the data are simulated, the outcome provides a way for the clinician and the drug manufacturer, as well as the participating physician, to understand the deeper thoughts of the study participants. As such, the approach is presented as a didactic tool to introduce the minds of patients as people to clinicians and to drug companies, doing so in the same spirit as consumer researchers seek to understand the corporation’s customers.

Published

2025-07-30

Issue

Section

Articles