Solutions

DrugVoice unlocks the authentic voice of Healthcare Professionals and Patients

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PeopleVoice turns unstructured Employee data into strategic intelligence

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DrugVoice

PeopleVoice

About Us

TMLabs is our in-house Centre of Excellence for Data Science for Life Sciences – where we train, test, and refine proprietary models purpose-built to decode real-world health dialogue at scale

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Articles & Scientific Publications

Our Articles & Scientific Publications showcase the rigorous methodologies and validated outcomes behind our Data Science – demonstrating the impact of Talking Medicines Predictive Intelligence in peer-reviewed research

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About TMLabs

Scientific Publications

Resources

Blogs

Our Blogs share insights at the intersection of data science, life sciences, and real-world health, covering trends, thought leadership, and innovation from the TM team

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The Talking Room

Discover how The Talking Room demystifies AI, LLMs, and Machine Learning, showcasing data stories and expert insights that transform Patient and HCP conversations into actionable intelligence

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Compliance Hub

The Compliance Hub outlines our commitment to data integrity, ethical AI, and regulatory standards, ensuring our intelligence is accurate, safe, and fully compliant

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ESG

Our ESG principles guide how we operate, driving responsible innovation, and reducing environmental impact through ethical operating and data practices

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Blogs

Compliance Hub

The Talking Room

ESG

Articles & Scientific Publications

Talking Medicines regularly contribute Articles and Scientific Publications. You will find a collection of published papers authored by TMLabs on groundbreaking innovation. These publications sit alongside the Patents that have been filed by Talking Medicines to shape the future of intelligence sourced from Conversational Health Data using Advanced Data Science and Artificial Intelligence

Understanding Unstructured Consumer Conversations in the GLP-1 Space

Large Language Models and Regulatory-Grade GLP-1 Content: Challenges and the Need for Accurate Message Measurement

Classifying patient voice in social media data using neural networks: A comparison of AI models on different data sources and therapeutic domains

Comparative analysis of Drug-GPT and ChatGPT LLMs for healthcare insights: Evaluating accuracy and relevance in Patient and HCP contexts

A Comparative Study on Patient Language across Therapeutic Domains for Effective Patient Voice Classification in Online Health Discussions

Classifying patient and professional voice in social media health posts

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