Research Articles
Mechanistic Models vs. AI in Tumor Modeling: A New Paradigm for Computational Oncology
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.
Foundation Models vs. Traditional Transfer Learning in Computational Pathology: A New Paradigm for Precision Oncology
The emergence of foundation models is fundamentally reshaping the artificial intelligence landscape in computational pathology.
Automated Breast Ultrasound vs. Mammography: A Comparative Analysis for Enhanced Cancer Detection and Screening
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.
dPCR vs qPCR for Mutant Allele Detection: A Strategic Guide for Precision Analysis
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...
Analytical Validation of PD-L1 Assays: A Comprehensive Guide for Clinical Implementation and Biomarker Development
This article provides a comprehensive resource for researchers, scientists, and drug development professionals on the analytical validation of PD-L1 assays for clinical use.
Comparative Analysis of Predictive Models for Individual Cancer Risk: From Traditional Statistics to Machine Learning
This article provides a comprehensive analysis of predictive models for individual cancer risk, examining their development, application, and validation.
Optimizing BCG-Induced Anti-Tumor Immunity in Bladder Cancer: Mechanisms, Clinical Applications, and Future Directions
This comprehensive review synthesizes current knowledge on Bacillus Calmette-Guérin (BCG) immunotherapy for bladder cancer, focusing on strategies to enhance its efficacy.
Capturing Emergence: Advanced Methods for Modeling Complex Behaviors in the Tumor Microenvironment
This article provides a comprehensive overview of cutting-edge computational and experimental methods for capturing emergent behaviors in tumor microenvironment (TME) models.
Advancing Sensitivity and Specificity in Early Cancer Detection: From Biomarker Innovation to Clinical Validation
This article provides a comprehensive analysis of contemporary strategies for enhancing the sensitivity and specificity of early cancer detection technologies, with a focus on multi-cancer early detection (MCED) tests.
Overcoming Barriers: Innovative Strategies for Molecular Diagnostics in Resource-Limited Settings
This article provides a comprehensive analysis of the challenges and innovative solutions for implementing molecular diagnostics in resource-constrained environments.