Applying artificial intelligence and machine learning to clinical trials

By Neil Versel, contributing writer for

Artificial intelligence (AI) and machine learning (ML) are pretty much everywhere there are computers and connected devices. Targeted advertising relies on AI. So do customer-service chatbots on websites, predictive typing in internet search engines and email apps, and virtual assistants like Siri and Alexa.


AI trends: A closer look at machine learning’s role

By Sue Poremba, contributing writer

The hottest technology right now is AI — more specifically, generative AI. The trend is so popular that every conference and webinar speaker feels obligated to mention some form of AI, no matter their field.


How brands can avoid leaving money on the table in their predictive analytics efforts

By Vanja Josifovsk, contributing writer for

For B2C brands, predictive analytics is crucial in ensuring that stakeholders can make sound decisions at scale—and improve the performance of their core business. But as they pursue predictive analytics efforts for their companies, B2C leaders should avoid leaving money on the table.


Machine learning models teach each other to identify molecular properties

By Michael Martinez, contributing writer for

Biomedical engineers at Duke University have developed a new method to improve the effectiveness of machine learning models. By pairing two machine learning models, one to gather data and one to analyze it, researchers can circumvent limitations of the technology without sacrificing accuracy.


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