Howard R Moskowitz¹*, Stephen D Rappaport², Sunaina Saharan³, Sharon Wingert⁴, Tonya Anderson⁴, Taylor Mulvey⁵ and Martin Mulvey¹

¹Cognitive Behavioral Insights, LLC, USA
²Stephen D. Rappaport Consulting LLC, USA
³Government Medical College, India
⁴Tactical Data Group, USA
⁵St. Thomas More School, USA

*Corresponding Author: Howard R Moskowitz, Cognitive Behavioral Insights, LLC, Albany, NY, USA.

Received: May 02, 2024; Published: May 21, 2024

Abstract

This paper deals with a simulation of mind-sets dealing with direct-to-consumer weight-loss drugs. The strategy is to present the AI (LLM, large language model) with a request to identify mind-sets of prospective consumers when they are presented with these weight loss drugs. The approach generates five different mind-sets, answering by simulation five questions about each mind-set. The study finishes with a further simulation of the “story” of three individuals, their thoughts when presented with these drugs, and why they decided either to use them or not to use them. The objective of the entire study is to demonstrate the teaching power of simulation for medically related issues. The approach can be extended across many different products, situations, and types of people. The approach is designed for an initial, custom-tailored introduction to a topic by those unfamiliar with the topic, but who have specific interests on which they want to focus.

Keywords: Artificial Intelligence Mind Genomics; Mind-Set; Prescription Drugs; Weight Loss

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Citation

Citation: Howard R Moskowitz., et al. “Mind-Sets for Prescription Weight Loss Products That Are Advertised Directly to Consumers: Using Mind Genomics Thinking with AI for Synthesis and Exploration".Acta Scientific Pharmaceutical Sciences 8.6 (2024): 80-87.

Copyright

Copyright: © 2024 Howard R Moskowitz., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.