The pharmaceutical industry spends billions on R&D each year. Clinical trials require tremendous amounts of effort, from identifying sites and enrolling patients to overseeing research functions and coordinating trial logistics....
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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...
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AI or Artificial Intelligence works by effectively combining high volumes of data using intelligent and quick algorithms with iterative processing and thereby allowing itself to self-learn automatically from the characteristics...
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AI or Artificial Intelligence works by effectively combining high volumes of data using intelligent and quick algorithms with iterative processing and thereby allowing itself to self-learn automatically from the characteristics...
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NoSQL databases exist since the late 1960s, but only since the beginning of the 21st century databases, like ArangoDB, grew in popularity. The main reason is the rising popularity of...
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It’s widely known by the pharmaceutical community that nearly nine out of ten drug candidates fail to win FDA approval, resulting in enormous drug development expenses every year. Less commonly...
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