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Updated: Apr 4, 2026

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
Published on: December 11, 2016
REACT (Real-world Emulated Clinical Trials): A Framework for Drug Repurposing Applied to Osteoporotic Fractures
Jianing Liu1, Seungyeon Lee1,2, Xianhui Chen1,2
1Department of Biomedical Informatics, The Ohio State University, Columbus, Ohio, USA.
Abstract:
Osteoporotic fractures remain common despite available therapies, highlighting the need for new, safe, and affordable treatment options. Advances in real-world data and causal inference have enabled target trial emulation, with prior frameworks demonstrating drug repurposing using observational data. However, no large-scale trial emulation framework has been applied to systematic drug repurposing for osteoporotic fracture prevention. To address this gap, we developed REACT (Real-world Emulated Clinical Trials), a scalable framework that operationalizes established target trial principles into an automated, comparator-robust pipeline for high-throughput drug screening. Applied to fracture prevention in older adults with osteoporosis, REACT screened 1,222 drugs and identified 18 with statistically significant associations, including 11 with protective effects and 7 with risk-increasing effects. The convergence of these findings with biological and prior observational evidence underscores REACT's ability to surface clinically meaningful patterns and its potential as a generalizable platform for accelerating real-world drug discovery and safety surveillance.
Insights
New methods using real-world data can screen many drugs for preventing osteoporotic fractures. This approach identified promising candidates and potential risks, accelerating drug discovery for osteoporosis.
Area of Science:
- Pharmacology
- Epidemiology
- Computational Biology
Background:
- Osteoporotic fractures are a significant health concern, with existing treatments having limitations.
- Advances in real-world data and causal inference facilitate drug repurposing for disease prevention.
- Existing frameworks lack large-scale application for systematic drug repurposing in osteoporotic fracture prevention.
Purpose of the Study:
- To develop and validate a scalable framework for real-world emulated clinical trials (REACT) for high-throughput drug screening.
- To apply REACT to identify drugs for preventing osteoporotic fractures in older adults.
- To assess the potential of REACT for accelerating drug discovery and safety surveillance.
Main Methods:
- Developed REACT, a framework operationalizing target trial principles into an automated pipeline.
- Applied REACT to screen 1,222 drugs for associations with osteoporotic fracture prevention.
- Utilized real-world data and causal inference for target trial emulation.
Main Results:
- Identified 18 drugs with statistically significant associations with osteoporotic fracture risk.
- Found 11 drugs with protective effects and 7 drugs with risk-increasing effects.
- Demonstrated convergence of findings with existing biological and observational evidence.
Conclusions:
- REACT is a scalable and robust framework for systematic drug repurposing and safety surveillance.
- The framework successfully identified potential therapeutic agents for osteoporotic fracture prevention.
- REACT shows promise as a generalizable platform for accelerating real-world drug discovery.
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