Using Machine Learning to Improve Clinical Trial Results

By Melody Smith|August 2nd, 2022|News|Comments Off

Clinical trials using systems biology techniques are being improved with machine learning technology. This interesting information came to our attention from Fierce BioTech in their article, “Systems biology, machine learning can boost trial success rates, says MIM.”

With the launch of an augmented intelligence platform that more easily identifies patients who are most likely to respond to candidate treatments in clinical trials, one company are boosting the success rates of clinical trials.

By helping developers to identify cancer patients most likely to respond to a particular therapy, the system increases the success rate of phase 2 and 3 clinical trials and aids exploring new potent combined therapies.

As technology continues to play more of a role in health care, Access Innovations is the intelligence and the technology behind world-class explainable artificial intelligence (AI) solutions. Data Harmony is a fully customizable suite of software products designed to maximize precise, efficient information management and retrieval. Our suite includes tools for taxonomy and thesauri construction, machine aided indexing, database management and information retrieval.

Melody K. Smith

Sponsored by Access Innovations, changing search to found.

About the Author: Melody Smith

Melody K. Smith has provided organizational, social media and digital communication services to a large non-profit for the past twenty years. Prior to that she championed employee engagement and communications in the healthcare field. She holds a Bachelors degree in Marketing. When not wrangling and writing TaxoDiary content for your reading pleasure, Melody writes fiction, rescues dogs and throws legendary dinner parties.

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Using Machine Learning to Improve Clinical Trial Results