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AI and the Big Data paradigm – big ambitions in novel drug discovery

pharmaphorum

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.

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The Use of Big Data in Pharmaceutical Marketing: Opportunities and Challenges

Pharma Marketing Network

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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The Use of Big Data in Pharmaceutical Marketing: Opportunities and Challenges

Pharma Marketing Network

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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AI, big data and deep real-world evidence – the challenges and opportunities

pharmaphorum

This pharmaphorum webinar, held in association with Savana, will take place on Thursday 22 April from 16:00-17:00 BST / 17:00-18:00 CET / 10:00-11:00 EST and hear from presenters at BREATHE – the health data research hub for respiratory health, Salford Royal NHS Foundation Trust and Savana.

Big Data 110
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What’s the next step in big data and AI?

Drug Discovery World

Big data and AI are all the rage. But, beyond these buzzwords and the quantity of data, what’s next for these powerful tools? His work provides insight into AI and big data in relation to pharma and drug discovery– now and in the future. “AI Groetken sees many opportunities to utilise big data and AI in pharma.

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Big data – charting a new path to drug discovery and development

Drug Discovery World

For example, Sanofi, Pfizer, Gilead, Novartis, BMS, Genentech, and Bayer have all announced significant alliances to integrate these big data technologies into drug discovery operations. It has proven instrumental in helping cell line development companies improve the productivity of their manufacturing lines. Industry 4.0’

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Pioneering access to complex generic products 

Drug Discovery World

Claire D’Abreau-Hayling, Chief Scientific Officer at Sandoz, examines how generic products can relieve industry pressure and improve access to essential medicines. Off-patent medicines today account for about 80% of global prescriptions at an estimated 20% of the total cost. Complex generics comprise a diverse range of products.