Research Articles
Integrating Radiomics and Digital Pathology: A New Paradigm for Precision Cancer Diagnostics and Drug Development
This article explores the transformative potential of integrating radiomics and digital pathology (pathomics) in oncology.
Foundation Models for Cancer Imaging Biomarkers: A New Paradigm in Precision Oncology
Foundation models, large-scale deep learning models pre-trained on vast datasets through self-supervised learning, are revolutionizing the discovery of cancer imaging biomarkers.
Explainable AI in Clinical Decision Support: Building Trust, Transparency, and Efficacy for Biomedical Research
The integration of Artificial Intelligence (AI) into Clinical Decision Support Systems (CDSS) promises to revolutionize healthcare by enhancing diagnostic precision and personalized treatment.
Machine Learning in Oncology: Revolutionizing Cancer Risk Prediction and Prognosis for Precision Medicine
This article provides a comprehensive overview of the transformative role of machine learning (ML) in cancer risk prediction and prognosis, tailored for researchers, scientists, and drug development professionals.
AI in Precision Oncology: Revolutionizing Cancer Diagnosis, Treatment, and Drug Discovery
This article provides a comprehensive overview of the transformative role of Artificial Intelligence (AI) in precision oncology for researchers, scientists, and drug development professionals.
A Systematic Review of Machine Learning in Cancer Research: From Diagnostics to Precision Therapeutics
This systematic review synthesizes the current landscape of machine learning (ML) applications in oncology, addressing its transformative potential across the cancer care continuum.
Benchmarking Pharmacophore Virtual Screening Against High-Throughput Screening: A Practical Guide for Modern Drug Discovery
This article provides a comprehensive benchmark comparison between pharmacophore-based virtual screening (PBVS) and high-throughput screening (HTS) for researchers and drug development professionals.
ROC Curve Analysis for Pharmacophore Model Validation: A Comprehensive Guide for Drug Discovery
This article provides a comprehensive guide for researchers and drug development professionals on applying Receiver Operating Characteristic (ROC) curve analysis to evaluate pharmacophore model performance.
Beyond Static Snapshots: Validating Pharmacophore Models with Molecular Dynamics Simulations for Robust Drug Discovery
This article provides a comprehensive guide for researchers and drug development professionals on integrating Molecular Dynamics (MD) simulations into the pharmacophore model validation pipeline.
Optimizing Pharmacophore Model Sensitivity: A Comprehensive Guide for Enhanced Virtual Screening
This article provides a systematic guide for researchers and drug development professionals on optimizing pharmacophore model sensitivity—a critical parameter for successful virtual screening.