Groundbreaking health data science tool set to make drug discovery 100 times faster

21 Mar 2024
Jemima Arnold
Editorial Assistant

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Dr Chris Foley, Chief Scientist and Managing Director at bioXcelerate
Dr Chris Foley, Chief Scientist and Managing Director at bioXcelerate

bioXcelerate, a new and innovative health data science division of Optima Partners Limited, has revealed a new groundbreaking AI tool, which is set to accelerate the process for identifying and developing new drugs. The tool, known as PleioGraph, can analyze complex medical data 100 times faster than existing state-of-the-art methods used to detect biological networks which explain disease risk and inform drug discovery.

The technology uses bioXcelerate’s own machine learning algorithms to sweep huge amounts of biological data to help drug developers identify the genes, proteins and cells that interact with each other to cause disease, a process known as genetic colocalization. It provides quicker and more accurate insights about how diseases develop, helping to accelerate the drug development process.

Exceeding the performance of traditional methods, PleioGraph can provide significant cost savings and reduce the amount of time patients have to wait for improved treatments and medicines. Working with the world’s leading pharmaceutical companies, PleioGraph has processed vast datasets between 75 and 100 time faster than industry leading methods, reducing time to insight down from months to hours.

Founded by academics from the UK’s leading universities, including Cambridge, Edinburgh, Imperial College and Oxford, bioXcelerate aims to bridge the gap between academia and the pharmaceutical industry by fostering a symbiotic relationship that improves health outcomes and benefits society.

Dr Chris Foley, Chief Scientist and Managing Director at bioXcelerate said: “The scale of data available is outpacing our ability to analyse it. While patterns explaining how diseases occur are hidden within our ever-increasing data-banks, AI technologies which quickly and accurately reveal these patterns are in short supply. At bioXcelerate, we are providing a solution to overcome these barriers. Combining our academic expertise with that of our unmatched breadth of health data science knowledge, our PleioGraph technology provides an exciting, industry-leading tool to supercharge early-phase drug discovery and ultimately, improve patient outcomes.”

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Artificial Intelligence / Machine LearningArtificial intelligence (AI) and machine learning (ML) are transformative technologies used to analyze complex data, identify patterns, and make data-driven predictions across diverse scientific fields. Automate the analysis of large or complex data sets using AI algorithms and leverage machine learning models to improve diagnostics, accelerate drug discovery, and refine experimental design. Discover the best AI/ML software, platforms, and analytical tools in our peer-reviewed product directory: compare features, read customer reviews, and request pricing directly from manufacturers.Healthcare IT SystemsDrug DiscoveryDrug discovery is the process of identifying potential new medications, involving stages such as target identification, compound screening, and preclinical development. It relies on cutting-edge technologies like high-throughput screening, artificial intelligence, and molecular modeling to accelerate the identification of drug candidates. Drug discovery plays a pivotal role in developing new therapies for diseases ranging from cancer to rare genetic disorders. Browse our peer-reviewed product directory to find the latest drug discovery technologies, compare options, check customer feedback, and get pricing directly from manufacturers.
Groundbreaking health data science tool set to make drug discovery 100 times faster