Latest Posts

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Mar 24

Partex NV announces collaboration with Althea DRF Lifesciences to provide comprehensive end-to-end services to accelerate drug discovery and development

Frankfurt, Germany; 28 March 2024 – Partex Group, a pioneer in AI-driven drug discovery, announces a collaboration with Althea DRF...
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18

Mar 24

Innovative AI technology in oncology: Partex Group presents results from a pilot project

During the German Cancer Congress 2024 in Berlin, the companies Innoplexus AG /Amrit AG, companies of Partex N.V., presented the...
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Innoplexus wins Horizon Interactive Gold Award for Curia App

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drug discovery

You Can’t Find the Needle If You Don’t Know It Exists

This blog is adapted from my book titled “Inside the Cockpit: Navigating the Complexity of Drug Development with AI and Blockchain”. Full copies are available here.  In December 2014, a twenty-nine-year-old investor named Vivek Ramaswamy bought a patent from GlaxoSmithKline (GSK) for $5 million. The patent covered an Alzheimer’s drug candidate that had failed GSK’s …

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How can AI help in Transforming the Drug Development Cycle?

Artificial intelligence (AI) is transforming the pharmaceutical industry with extraordinary innovations that are automating processes at every stage of drug development. Pharma companies are investing in AI-driven applications for transforming healthcare, reducing R&D spends, and expanding the scope of drug discovery. By expediting research efforts, AI is turning hype into use cases and increasing ROI …

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Revolutionizing Drug Discovery with AI-Powered Solutions

Drug discovery plays a key role in the pharma and biotech industries. Discovering unmet needs, pinpointing the target, identifying the lead, and optimizing the drug development process present significant challenges. Initially, the drug discovery process was more serendipitous rather than a planned process. Today, drug discovery involves a streamlined progression from identification to optimization. It …

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Leveraging AI for Drug Discovery in early stage Biotech Companies

Many biotech firms lack the basic data infrastructure to properly exploit digital tools and AI-technologies like machine learning, computer vision, entity normalization, network analysis, etc, and they don’t employ their own data scientists. However, some investors are specifically looking at biotech companies combining the DNA of both pharmaceutical and digital technology groups. Funding is only …

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