OAK BROOK, Ill. – An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive ...

Lung cancer remains the leading cause of cancer-related deaths worldwide, accounting for nearly one in five cancer deaths—around 1.8 million lives lost each year. One of the main reasons is late ...

The AI machine learning model to detect a disorder that typically affects babies who are born early was developed by a team of University of Rochester researchers.

A new study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients with ...

Please provide your email address to receive an email when new articles are posted on . Machine learning models can predict which patients receiving lung cancer therapy may need urgent care visits.

Lung cancer symptoms are often non-specific, leading to late detection and misattribution to less severe conditions. The GO2 for Lung Cancer provides resources, policy advocacy, and access to clinical ...

A new light-based sensor can spot incredibly tiny amounts of cancer biomarkers in blood, raising the possibility of earlier and simpler cancer detection. The technology merges DNA nanotechnology, ...

In a recent opinion piece published in the journal Trends in Cancer, researchers examined the rising global burden of lung cancer in people with no history of smoking. This phenomenon requires its own ...