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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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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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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? Troy Groetken says that data has the ability to create personalised, predictive and preventative medicine tailored to individual patients and identified patient groups/populations.

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

Drug Discovery World

Tim Lowery , President, JSR Life Sciences, asks whether artificial intelligence can do for life sciences what it has done in other sectors and whether these tools can keep up with the complexities of human biology. So, where do we go from here to realise their potential in life sciences?

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Deep Learning-based Interoperability: Advanced Neural Networks Mimicking the Human Brain

Roots Analysis

In addition to the advances in processing power of computing machines and the development of smarter algorithms, big data is considered to be one of the key drivers of growth in this segment. Big data holds great promise in terms of its potential applications in the healthcare industry as mentioned below.

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

ACRP blog

The life sciences sector is increasingly leveraging technology across its operations, and this trend will continue in 2023 with more collaborations and partnerships between pharmaceutical, biotechnology, and medical device companies and information technology vendors, Lyons adds.

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Synthetic control arms in clinical trials: Making it happen

pharmaphorum

David Clifton is professor of clinical machine learning in the Department of Engineering Science of the University of Oxford. His research focuses on the development of big data machine learning for tracking the health of complex systems. Mark holds a PhD in biomedicine, and an MSc in biostatistics.