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Latest paper

Understanding Unstructured Consumer Conversations in the GLP-1 Space

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TMLabs publications

Articles & scientific publications

Papers authored by TMLabs on the methods behind our intelligence — how conversational health data is classified, measured and made fit for regulated decisions. They sit alongside the patents filed by Talking Medicines.

Latest · Report · August 2026

The New GLP-1 Consumer

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Articles03

Reports and data articles on the GLP-1 market and regulated AI.

Report August 2026The New GLP-1 ConsumerRead the report Article May 2026Understanding Unstructured Consumer Conversations in the GLP-1 SpaceRead the article Article April 2026Large Language Models and Regulatory-Grade GLP-1 Content: Challenges and the Need for Accurate Message MeasurementRead the article

Research papers04

Methodologies and validated outcomes from TMLabs.

  1. 01Classifying patient voice in social media data using neural networks: A comparison of AI models on different data sources and therapeutic domainsPDF
  2. 02Comparative analysis of Drug-GPT and ChatGPT LLMs for healthcare insights: Evaluating accuracy and relevance in Patient and HCP contextsPDF
  3. 03A Comparative Study on Patient Language across Therapeutic Domains for Effective Patient Voice Classification in Online Health DiscussionsPDF
  4. 04Classifying patient and professional voice in social media health postsPDF

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