ascopubs.org

Deep-Learning Model for Real-Time Prediction of Recurrence in Early-Stage Non–Small Cell Lung Cancer: A Multimodal Approach (RADAR CARE Study)

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 ...
Medical Xpress

AACR: New platform uses machine learning to predict responses in patients with lung cancer

An artificial intelligence (AI) model developed by researchers at The University of Texas MD Anderson Cancer Center demonstrated the ability to accurately predict responses to immunotherapy for ...
ascopubs.org

End-to-End Pretreatment Prediction of Radiation Pneumonitis in Patients With Non–Small Cell Lung Cancer Using Computed Tomography: A Vision Transformer Approach

Analysis of Large Language Model Decision Making in Hormone Receptor–Positive/Human Epidermal Growth Factor Receptor 2–Negative Early Breast Cancer Data were collected from patients diagnosed between ...
The New York Times

Early Research Suggests a Path to Predict and Prevent Lung Cancer

Scientists have identified proteins that could signal increased lung cancer risk, as well as a drug that could reduce the odds of a tumor developing. By Nina Agrawal Scientists have made a discovery ...
Healio

Protein-based model improves lung cancer prediction in those with smoking history

A model based on proteins vs. a questionnaire had higher discrimination in predicting lung cancer risk in individuals with a smoking history, according to data presented at the American Thoracic ...

Can lung cancer be prevented using a drug?

Explore whether Canakinumab can prevent lung cancer, focusing on new research and the complexities of medical interpretations.