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Dylan James Brock

How Machine Learning Improves Real-World Evidence
By Dylan James Brock on November 17, 2022

Can Machines Understand Cause and Effect? In the simplest terms, machine learning (ML) is based on the ability of algorithms to learn from data. To...

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How Integration of Diverse Data Powers Drug Discovery and Development
By Dylan James Brock on November 15, 2022

Over the past decade, artificial intelligence (AI) and machine learning (ML) has become the breakthrough technology most likely to transform how...

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How to Jumpstart Patient Recruitment with Machine Learning
By Dylan James Brock on November 10, 2022

Making the Most of the Data Available is the Key to Driving Recruitment Clinical operations professionals must extract the information they need to...

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9 Ways to Design Clinical Trials with Diversity in Mind
By Dylan James Brock on November 9, 2022

Leveraging Clinical Intelligence to Meet New Requirements for Diversity Properly representing patient populations in clinical trials means taking on...

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3 Critical Steps to Optimize Machine Learning for Clinical Development
By Dylan James Brock on November 7, 2022

Why "Resistance to Change" Is the Biggest Blocker to Clinical Development Innovation When we talk about optimizing clinical development, we're...

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