Research Articles
Overcoming Sensitivity and Technical Hurdles: A Deep Dive into ddPCR for ctDNA Analysis
Droplet Digital PCR (ddPCR) has emerged as a powerful, sensitive, and cost-effective technology for circulating tumor DNA (ctDNA) analysis, enabling applications from early cancer detection to minimal residual disease (MRD)...
Optimizing Binding Affinity in Anticancer Compound Design: From Foundational Concepts to AI-Driven Discovery
This article provides a comprehensive overview of strategies for optimizing binding affinity in anticancer drug design, tailored for researchers, scientists, and drug development professionals.
Advancing Precision Oncology: Strategies for Optimizing Machine Learning Accuracy in Cancer Detection
This article provides a comprehensive analysis for researchers and drug development professionals on enhancing the accuracy of machine learning (ML) models in cancer detection.
Troubleshooting Molecular Dynamics Simulation Parameters for Cancer Targets: A Guide to Optimization and Validation
Molecular dynamics (MD) simulation has become an indispensable tool in cancer drug discovery, providing atomic-level insights into drug-target interactions.
Conquering the Spatial Map of Cancer: Advanced Models and Computational Strategies to Decode Tumor Heterogeneity
Tumor spatial heterogeneity—the variation in cellular composition, genetics, and function across different regions of a tumor—is a fundamental driver of therapeutic resistance and cancer progression.
Advancing Cancer Diagnostics: Strategies for Enhancing Sensitivity in PCR-Based Detection Methods
This article provides a comprehensive analysis of emerging strategies to improve the sensitivity of PCR-based methods for early cancer detection and monitoring.
Optimizing Drug Dosing Schedules to Combat Antimicrobial Resistance: A PK/PD Framework for Researchers
This article provides a comprehensive guide for researchers and drug development professionals on optimizing antimicrobial dosing schedules to suppress resistance development.
A Modern Workflow for Mathematical Modeling in Cancer Treatment Optimization: From Biological Principles to Clinical Translation
This article provides a comprehensive guide to the workflow of mathematical modeling for optimizing cancer treatment, tailored for researchers, scientists, and drug development professionals.
Digital PCR in Circulating Tumor DNA Analysis: Advanced Methods for Sensitive Detection and Clinical Application
This article provides a comprehensive technical overview of digital PCR (dPCR) methodologies for analyzing circulating tumor DNA (ctDNA), a cornerstone of liquid biopsy in precision oncology.
Next-Generation Sequencing in Cancer Diagnostics: A Comprehensive Guide for Researchers and Drug Developers
Next-generation sequencing (NGS) has fundamentally transformed oncology, enabling comprehensive genomic profiling that drives precision medicine.