Big data is poised to transform drug discovery and trials
From drug inception to clinical trials to manufacturing and supply chain optimization, the pharmaceutical industry is seeing a wave of new artificial intelligence and optimization automation software transform legacy systems. It's making waves and delivering powerful bottom-line results.
Accelerate drug discovery by analyzing massive datasets. Reveal patterns that substantially improve the accuracy of predictions on the efficacy and safety of drugs.
Automate and centralize warehousing, logistics, and transportation data to proactively optimize a supply chain. Add preventive asset maintenance tools to guarantee smooth drug production delivery along a fully optimized operation.
Remain steps ahead of government compliance and regulation by implementing a quality management system to effectively document processes and work instructions that are easily understood and executed.
In previous decades, the drug discovery process has been subject to multi-year drug trials that are subject to FDA regulatory hurdles. These procedural models are manual, require enormous blocks of time, and have led to drug startups fizzling out before ever having a chance at a drug coming to market. But artificial intelligence has moved the needle. Some companies have been able to shorten the drug test lifecycle by 20 to 30 percent and the government agencies are taking notice.
Our team provides comprehensive services for pharmaceutical clients, with a focus on modernizing legacy systems and implementing efficient software solutions through cloud computing and data analytics. We prioritize quality control, regulatory compliance, and user experience, and offer support in change and project management to ensure successful outcomes.
Richard Bridges, Chief Insurance Officer at
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Steve Orgill, Chief Technology Officer, LERETA
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Audrey Bridges, Treasurer, Bloom Benefits Association
Senior consultants with pharma industry experience can set the stage for a well-framed engagement.
A focused session on your specific software applications, platforms, or projects. Typically this includes technical resources from both sides.