Progress and Opportunities to Advance Clinical Cancer Therapeutics Using Tumor Dynamic Models
Author:
Funder
Genentech
Publisher
American Association for Cancer Research (AACR)
Subject
Cancer Research,Oncology
Cited by 58 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Model‐informed Evidence for Clinical Non‐inferiority of Every‐2‐Weeks Versus Standard Weekly Dosing Schedule of Cetuximab in Metastatic Colorectal Cancer;Clinical Pharmacology & Therapeutics;2024-08-12
2. Organ-specific tumor dynamics predict survival of patients with metastatic colorectal cancer;European Journal of Cancer;2024-08
3. Computational Model Predicts Patient Outcomes in Luminal B Breast Cancer Treated with Endocrine Therapy and CDK4/6 Inhibition;Clinical Cancer Research;2024-06-26
4. Predicting overall survival from tumor dynamics metrics using parametric statistical and machine learning models: application to patients with RET-altered solid tumors;Frontiers in Artificial Intelligence;2024-06-11
5. Bridging the gap between two‐stage and joint models: The case of tumor growth inhibition and overall survival models;Statistics in Medicine;2024-06-03
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