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During May, Beaconcure has participated in two international conferences: PHUSE US Connect and PharmaSUG Austin. At both conferences, we presented and exhibited. PHUSE US Connect 2022: The US Connect 2022 took place in Atlanta, Georiga, USA between May 1-4. The conference welcomed more than 500 attendees from 120 companies. On the first official day of […]
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Background The world has experienced three different industrial revolutions since the 18th century, and each time, it has affected the production process of multiple industries. As the activities evolved, technology followed the way. The fourth industrial revolution is happening right now as a continuation of the third – that started in the 20th century. It […]
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Parsing is the process of analyzing a string of symbols, either in natural language, computer languages, or data structures, confronting the rules of formal grammar. Beaconcure’s take revolves around analyzing clinical data structures that appear in tables and were created with SAS programming. Parsing is the way of the algorithm to take raw clinical tables, […]
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While an “ideal” Statistical Computing Environment (SCE) is highly sought for in the pharmaceutical industry, one is yet to be developed. Hoping to nudge tech business leaders to develop such a platform, experts from top global pharma companies have come together and compiled a list of their recommendations for the requirements of an ideal SCE. […]
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Standardization is crucial in order to create a true revolution in the clinical trials industry. We are getting closer to the day that all clinical trials will be accelerated by the automation of manual processes. Getting there is inevitably intertwined with analyzing clinical data in a coherent, consistent way. How does this work? Clinical trials […]
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Second Abstract for presentation at the Phuse US Connect 2022
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First Abstract for presentation at the Phuse US Connect 2022
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The combination of the human factor and artificial intelligence is the key to success
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How ML-driven Automation Technology Can Overcome the Limitations of Double Programming
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Data visualization facilitates a faster, easier and more accurate clinical data validation
