pharmaphorum
JANUARY 11, 2023
Over the past few decades, data generation has veritably exploded. However, the ‘Big Data paradigm’ is not so much concerned with the volume of that data, but how businesses and, indeed, industries can derive meaningful insights from what has become a glut of information. From Big Data to small.
Pharma Marketing Network
MAY 15, 2023
Big data has become an increasingly important tool for businesses across various industries, and the pharmaceutical industry is no exception. However, the use of big data in pharmaceutical marketing also poses significant challenges that must be considered. References 1. 8 (2018) 2. 1 (2016) 3.
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Pharma Marketing Network
MARCH 23, 2023
Big data has become an increasingly important tool for businesses across various industries, and the pharmaceutical industry is no exception. However, the use of big data in pharmaceutical marketing also poses significant challenges that must be considered. References 1. 8 (2018) 2. 1 (2016) 3.
pharmaphorum
MAY 30, 2022
Josh Sackman, president and co-founder of AppliedVR, and Web Sun, president and co-founder of Komodo Health, relay how their newly formed collaboration reshapes the clinical trial process by using data, helping to cut costs and allowing for evaluation of broader patient populations. . Distinct offerings.
Roots Analysis
JANUARY 28, 2024
Big Data in healthcare refers to the vast amount of data that is continuously expanding and cannot be efficiently stored or processed using traditional tools. It accounts for the majority of big data in healthcare and comprises information, such as medical images, surveys, chats, and written narratives.
pharmaphorum
FEBRUARY 1, 2022
Across the industry, pharma companies are turning to AI and real-world data to address many of the challenges of running clinical trials. Can the combined potential of new AI technologies and real-world patient data hold the key to overcoming the challenges in clinical trial design that have historically led to trial failure?
ACRP blog
JUNE 7, 2023
If you hadn’t already noticed, the clinical research enterprise has well and truly entered the era of “big data,” artificial intelligence (AI), and machine learning. As a result, the time required to design, launch, and execute high-impact clinical trials is significantly reduced.”
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