Model and clinical segmentation examples. (A) 71-year-old female with non-small cell lung cancer (NSCLC) from the internal test set. (B) 87-year-old male with NSCLC from the external test set. Both ...

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 ...

CAT scans detecting cancer is nothing new. But now, doctors are using artificial intelligence to spot cancer even sooner.“I'm here three years later because I did find out and because I did finally ...

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...

A new study presented at the International Association for the Study of Lung Cancer 2025 World Conference on Lung Cancer (WCLC) validates the use of Sybil, a deep learning artificial intelligence ...

Scientists have created a new low-cost, fast response sensor to detect lung cancer biomarkers, paving the way for the development of screening devices to spot the disease even before symptoms occur.

Lung cancer is the leading cause of cancer deaths worldwide, and early detection is key: there is a 12-fold increase in five-year survivorship between those detected at stage one versus stage four.

Cancer diagnoses traditionally require invasive or labor-intensive procedures such as tissue biopsies. Researchers at the Ludwig-Maximilians-Universität München (LMU) have now reported on a method ...

A New York City woman is using her lung cancer survival story to push for early detection, especially among nonsmokers and those in underserved communities. Colette Smith of the Bronx wrote a message ...