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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.

Big Data 122
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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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AI continues to gain momentum in the biopharmaceutical industry in 2023

Pharmaceutical Technology

The report also suggested that Big Data was thought to be the most important partner to AI, in terms of introducing technology-related changes in the pharmaceutical sector (Figure 2). AI has been voted as the most disruptive emerging technology every year since 2020, according to the survey tracker.

Big Data 303
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Indian life sciences sector integrating technologies in R&D efforts

AuroBlog - Aurous Healthcare Clinical Trials blog

The Indian life sciences sector is making strides by integrating quantum computing, artificial intelligence (AI), machine learning (ML), advanced analytics, big data, internet of things (IoT) and blockchain into their research and development efforts.

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

pharmaphorum

They allow them to study the development of disease in a group of patients that are more representative of the general population than in a typical clinical trial, giving a more nuanced view of the performance of the therapy’s benefits and drawbacks. Patient-friendly studies. About Savana.

Big Data 104
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Synthetic control arms in clinical trials: Making it happen

pharmaphorum

Across the industry, pharma companies are turning to AI and real-world data to address many of the challenges of running clinical trials. Can the combined potential of new AI technologies and real-world patient data hold the key to overcoming the challenges in clinical trial design that have historically led to trial failure?

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Using technology to reassess the clinical trial landscape

pharmaphorum

Josh Sackman, president and co-founder of AppliedVR, and Web Sun, president and co-founder of Komodo Health, relay how their newly formed collaboration reshapes the clinical trial process by using data, helping to cut costs and allowing for evaluation of broader patient populations. .