Big Data Compliance Development Medicine 
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. Undoubtedly, the expectations for precision medicine are high,” Olsen adds.
Drug Discovery World
JULY 20, 2023
The EMA has published a draft reflection paper outlining the current thinking on the use of artificial intelligence (AI) to support the safe and effective development, regulation and use of medicines. The use of AI is rapidly developing in society and as regulators we see more and more applications in the field of medicines. “The
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ACRP blog
APRIL 5, 2023
AI is increasingly important in drug discovery and development as well as clinical trials, operations, pharmacovigilance, and many other areas.” This will also allow companies to utilize advanced computational models to find better treatments more quickly while also reducing costs associated with drug development.
pharmaphorum
APRIL 8, 2022
The webinar will also cover: How the necessary routine and research data can be collected in registries in a further processable form by patients and healthcare professionals. Optimising and exploiting data for use in rare disease-specific research and studies. About the panel.
pharmaphorum
JULY 4, 2022
And this is where modern technologies and data-driven medical informatics can really bridge the gaps in rare disease research,” said Dr Joanne Hackett, head of Genomic and Precision Medicine at IQVIA, during a recent pharmaphorum webinar. Data privacy and protection, patient voice. Navigating rare disease research and treatment.
Drug Discovery World
OCTOBER 12, 2022
Having these new data leads to greater understanding and enables precision medicine. . 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. Why are digital biomarkers important in clinical trials?
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