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

SAN DIEGO, APRIL 20, 2026 ― An artificial intelligence (AI) model developed by researchers at The University of Texas MD Anderson Cancer Center demonstrated the ability to accurately predict responses ...
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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 ...