The team is using digital stethoscopes and machine learning to analyze heartbeats, similar to how a musician picks up an ...

Researchers have developed a new blood test using machine learning to detect early-stage ovarian cancer with high accuracy. This test addresses the difficulty of diagnosing the disease early due to ...

When cells expire, they leave behind an activity log of sorts: RNA expelled into blood plasma that reveal changes in gene ...

Researchers at the Carl R. Woese Institute for Genomic Biology are a step closer to realizing this goal by integrating machine learning-based analysis into point-of-care biosensing technologies.

A research team has developed PlantCaFo, an advanced few-shot plant disease recognition model powered by foundation models, capable of achieving high accuracy with only a handful of training images.

Idiopathic pulmonary fibrosis (IPF) is a progressive lung disease characterised by the accumulation of scar tissue in the ...

It is increasingly being applied to CT scans. Recent developments in artificial intelligence (AI) have shown potential in ...

Applying machine learning to genome-wide association and electronic health record data may usher in a new era of precision in ...

Next, the team evaluated how accurately each dog could pick out a disease scent it was trained to detect among other smells.

AI and ML are revolutionizing industries, promising a $15.7 trillion boost to the global economy by 2030. Healthcare sees earlier disease detection, while finance benefits from fraud prevention and ...