New findings highlight the need to systematically check for bias in pathology AI to ensure equitable care for patients.

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

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Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...

Accenture beat first-quarter estimates on strong AI-driven demand, but cautious guidance and sector worries weighed on its ...

AI tools designed to diagnose cancer from tissue samples are quietly learning more than just disease patterns. New research ...

Although the overall US economy added 64,000 jobs last month, the tech sector is softening when it comes to hiring.

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

Cancer-diagnosing AI models can secretly read patient demographics from pathology slides, leading to biased results.

Today at the San Antonio Breast Cancer Symposium (SABCS), researchers presented the initial findings from a major multi-year collaboration between the ECOG-ACRIN Cancer Research Group (ECOG-ACRIN) and ...

Patrick Kaczmarek, a junior at Carnegie Mellon University majoring in applied physics and mechanical engineering, was awarded a Summer Undergraduate Research Fellowship (SURF) to work on a project ...