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Recognizing the Real People Behind the Big Data and Artificial Intelligence in Clinical Research

ACRP blog

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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Technology Trends and Collaborations are Ushering in a New Era of ‘Pharmaceutical Intelligence’

ACRP blog

AI is increasingly important in drug discovery and development as well as clinical trials, operations, pharmacovigilance, and many other areas.” This has led to the emergence of a new ‘pharmaceutical intelligence’ that has allowed the industry to move away from traditional, slow-moving, and costly processes,” Lyons writes. “AI

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Digital biomarkers in pharma: Q&A with Medidata’s Mark Matson 

Drug Discovery World

Having these new data leads to greater understanding and enables precision medicine. . Why are digital biomarkers important in clinical trials? . Once collected, there are data analysis considerations surrounding the large amount of data and the connection to other data sources, such as EDC and eCOA data.

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EMA urges “human-centric approach” to AI in drug discovery

Drug Discovery World

The reflection paper is part of the joint HMA-EMA Big Data Steering Group (BDSG) initiatives to develop the European Medicines Regulatory Network’s capability in data-driven regulation. In clinical trials, AI/ML systems may support the selection of patients based on certain disease characteristics or other clinical parameters.

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Rare diseases, repurposing and the role of AI

pharmaphorum

By definition, however, trial master files represent a much richer and more detailed source of data on a drug and how it performs. For instance, provided a drug has not failed a trial on safety, the side effects it caused in one population could constitute on-target effects in another.

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Life Science Consulting Jobs: A Unique Career

XTalks

Data analytics and digital transformation: A consultant in this role would work to help a client transition to using the latest big data analytical methods and incorporate digital technologies such as artificial intelligence, cloud computing, machine learning and augmented/virtual reality.

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Empowering rare disease patient advocacy organisations with data

pharmaphorum

It’s our representation of tracking the deidentified, which is important from a privacy and compliance point of view,” Sun says. “It CZI has also partnered with large data collection agencies before. He oversees operations, including business development, sales and marketing, and people. About the author.