Big Data Clinical Trials Genetics 
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.
Pharma Marketing Network
NOVEMBER 23, 2024
By leveraging research into specific genetic markers and tailored therapies, campaigns can address niche markets with unparalleled relevance. AI and Big Data: Transforming Pharma Research Artificial intelligence and big data analytics are revolutionizing pharma research.
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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
JUNE 18, 2021
This mission saw him become a diplomat in the Middle East, a McKinsey consultant in Asia, and take on roles in international intelligence before realizing he could use his knowledge and skills in solving complex problems to crack one of healthcare’s greatest challenges—accelerating clinical trials. changing treatment.
Drug Patent Watch
DECEMBER 12, 2024
Branded drugs, developed through extensive research and clinical trials, often enjoy patent protection for a limited period. Drugs that require extensive clinical trials for generic approval or fall under special regulatory pathways may have a lower risk of generic entry.
pharmaphorum
OCTOBER 12, 2021
The results are strong enough to back a proof-of-concept study in people with genetic risk of Alzheimer’s according to the researchers. It is the second time in a matter of weeks that data-mining studies have suggested that an already-approved drug could be repurposed for Alzheimer’s disease.
pharmaphorum
OCTOBER 16, 2020
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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