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...
Continue ReadingHow 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...
Continue ReadingHow 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...
Continue Reading9 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...
Continue Reading3 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...
Continue Reading