A model integrating deep learning with clinical and epidemiologic data may significantly improve lung cancer risk prediction based on LDCT screening.

Low-dose computed tomography (LDCT) screening is effective in reducing lung cancer mortality by detecting the disease at earlier, more treatable stages. However, high false-positive rates and the ...

Assessment of Functional Status of Human Leukocyte Antigen Class I Genes in Cancer Tissues in the Context of Personalized Neoantigen Peptide Vaccine Immunotherapy Lymph node metastasis (LNM) ...

A new AI tool called "Sybil" has proven strongly accurate at predicting whether a non-smoking patient will develop lung cancer based on the analysis of a single low-dose chest CT scan, according to a ...

Researchers have built an AI-powered pathology tool designed to predict whether small cell lung cancer patients will respond ...

Bayesian network models predict urgent care visits in patients with non–small cell lung cancer receiving systemic therapy. The first model (left) integrates clinical and patient-reported outcome data, ...

Tempus AI, Inc. (NASDAQ: TEM), a technology company leading the adoption of AI to advance precision medicine, today announced the acceptance of 31 abstracts—including one oral presentation—for the ...

A quiet signal inside a tumor may soon guide how surgeons treat early lung cancer. Researchers now report that hidden genetic ...