Authors: Maya M. Durvasula, Sabri Eyuboglu, David M. Ritzwoller

Published on: May 12, 2024

Impact Score: 7.0

Arxiv code: Arxiv:2405.08030

Summary

• What is new: The use of a fine-tuned, open-source large language model to create a census of clinical trials, highlighting a shift toward less capital-intensive research.
• Why this is important: Increase in medical research output does not match the increase in research quantity, indicating declining productivity.
• What the research proposes: A novel method using a large language model to analyze and compare the productivity and capital intensity of clinical trials versus other types of medical research.
• Results: The analysis found that the quantity of clinical trials has remained constant since 2010, while other forms of clinical research have increased, demonstrating a productivity divide.

Technical Details

Technological frameworks used: Open-source large language model

Models used: Fine-tuned model used for data analysis

Data used: Census of clinical trials and other medical research data

Potential Impact

Pharmaceutical companies, clinical research organizations, healthcare policy makers

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