Increase speed
and lower costs by mining existing drugs for new uses
The promising technique of drug repurposing is gaining attention from across the pharma industry, not only for reducing time and cost, but also lowering risk in the process of developing drugs for cancers and other rare illnesses — ultimately getting life-saving treatments to patients faster.
Bypass early drug discovery phases and improve the odds of
successful clinical development trials.
Data-driven approaches maximize the value of existing drugs
IQVIA’s leading data scientists, world-class experts and advanced artificial intelligence (AI) and machine learning (ML) techniques are discovering new indications for approved drugs, aligning existing drugs with specific indications and combining drugs to address pressing medical needs. Our drug repurposing methods speed up the process of developing new drugs and give a second chance to withdrawn or failed drugs. We maximize asset value through understanding drug target interactions at the indication level.
Our AI approaches include literature extraction, machine learning from genomics and bioinformatics data, and mining of EMR and claims data. They can be deployed to cover everything from drug to protein interactions at the molecular level to sifting through millions of records to find drugs used to treat other conditions, which can be developed as treatment for an underserved disease.
With traditional drug development, knowledge of failed assets is often limited and unpublished, impeding the insights needed to identify successful targets. It is also a slow, expensive and high-risk process. However, when a known drug is developed for a new use, it can:
- Bypass the 80% pre‐clinical failure rate
- Bypass much of the clinical toxicity failure rate
- Bypass some of the efficacy failure rate
- Speed up development processes saving time and money
- Increase the probability of clinical trial success
- Provide earlier patient access to repurposed medicines
Improve drug development success with IQVIA
IQVIA has deep domain experience, massive data sources, a world-class team and a wide range of approaches to improve the success of drug development. Advanced AI opens the door to new insights into disease drug targets and increases the odds that clinical development trials will be successful – while allowing patients access to new treatments faster.
For more ways to innovate and succeed: Contact us today
Learn more about all our Drug Discovery & Development Services here or download these resources below.
Learn more with these resources
IQVIA’s Drug Discovery and Development Services
Empowering pharmaceutical R&D partners through AI/ML backed commercial consulting expertise
Machine Learning Applications for Therapeutic Tasks with Genomic Data
Machine learning is key to revolutionizing the use of genomics in therapeutics development.
1Source: www.ncbi.nlm.nih.gov/pmc/articles/PMC5694537/
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