For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency ...

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

The use of predictive technology to make decisions about people raises ethical questions that humanity has devoted worryingly ...

An artificial intelligence (AI) model developed by researchers at The University of Texas MD Anderson Cancer Center ...

This review examines how high-throughput proteomics is expanding precision medicine by improving biomarker discovery, disease ...

Neuroscientist Vivienne Ming argues in her new book that the biggest risk of artificial intelligence is people using it too ...

A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response to immunotherapy in patients with metastatic non-small cell lung ...

More than 174,000 Participants Enrolled Across Both Studies, Demonstrating the Scientific Rigor of Galleri® Clinical Development Program ...

Human beings are getting dumber. That's a fact, according to several researchers who have raised concerns about the state of ...

Advancements in Machine Learning for Materials Science Machine learning (ML) is really shaking things up in materials ...

Discover how explainable AI enhances Parkinson’s disease prediction with improved accuracy and clinical interpretability.

Machine learning models can predict the risk for developing moderate-to-severe persistent asthma and allergic rhinitis in ...