Remove Big Data Remove Drugs Remove Genetics
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How to Identify Branded Drugs with a Low Likelihood of Generic Entry as Targets for In-Licensing

Drug Patent Watch

Identifying branded drugs with a low likelihood of generic entry has become a crucial strategy for companies looking to expand their product portfolio through in-licensing. In this comprehensive guide, we’ll explore the intricacies of identifying such drugs and leveraging them for successful in-licensing opportunities.

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Pharma Research Trends: Leveraging Innovation for Smarter Marketing Strategies

Pharma Marketing Network

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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Data dive finds cheap diuretic could be Alzheimer’s drug

pharmaphorum

A data-mining study conducted by researchers in the US has found that an already-approved diuretic drug could have potential as a treatment for some patients with Alzheimer’s disease. The results are strong enough to back a proof-of-concept study in people with genetic risk of Alzheimer’s according to the researchers.

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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. Edited by Gary Cramer The post Recognizing the Real People Behind the Big Data and Artificial Intelligence in Clinical Research appeared first on ACRP.

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The future of AI drug discovery & development in immunology and GPCR research

pharmaphorum

Alphabet subsidiary and precision health company Verily recently announced a breakthrough in its AI drug discovery GPCR research collaboration with Sosei Heptares. The companies hope that in the year to come those data targets will be entered for validation, hit generation, and lead selection. What, then, is the solution?

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Revolutionizing Medicine and Public Health: The Emergence of Big Data in Healthcare

Roots Analysis

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.

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Top Pharmaceutical Trends Shaping the Future of Pharma Marketing in 2025

Pharma Marketing Network

With machine learning and big data analytics, companies can now predict market trends, enhance drug development, and create hyper-personalized campaigns. Big data analytics plays a crucial role in identifying prescribing patterns, understanding patient behaviors, and tailoring content strategies.