Cancer stem cells (CSCs) are a pivotal subpopulation driving tumor initiation, progression, and relapse due to their self-renewal capacity, differentiation potential, and profound resistance to conventional therapies.
This article provides a comprehensive roadmap for researchers and drug development professionals on the validation of predictive biomarkers for cancer immunotherapy.
This article provides a comprehensive analysis of the comparative performance of various PD-L1 immunohistochemistry (IHC) assays, a critical predictive biomarker for immune checkpoint inhibitor response.
This article addresses the critical challenge of validating cancer risk prediction models across racially, ethnically, and geographically diverse populations—a prerequisite for equitable clinical application.
This comprehensive review systematically compares established and emerging molecular techniques for cancer diagnostics, addressing the needs of researchers, scientists, and drug development professionals.
This article provides a comprehensive analysis for researchers and drug development professionals on the distinct yet complementary roles of mechanistic models and artificial intelligence (AI) in computational oncology.
The emergence of foundation models is fundamentally reshaping the artificial intelligence landscape in computational pathology.
This article provides a comprehensive comparison between traditional mammography and automated breast ultrasound (ABUS) for breast cancer screening, with a focus on implications for clinical research and diagnostic development.
This article provides a comprehensive comparison of digital PCR (dPCR) and quantitative PCR (qPCR) for the detection and quantification of mutant alleles, a critical task in oncology, biomarker validation, and...
This article provides a comprehensive resource for researchers, scientists, and drug development professionals on the analytical validation of PD-L1 assays for clinical use.