Research Articles
Integrating Genomic and Clinical Data for Advanced Risk Assessment: From Foundational Concepts to Clinical Application in Drug Development
This article provides a comprehensive overview of the integration of genomic and clinical data for disease risk assessment, tailored for researchers, scientists, and drug development professionals.
Ensemble Methods for Cancer Classification: Enhancing Accuracy and Interpretability in Biomedical Research
This article provides a comprehensive exploration of ensemble machine learning methods for cancer classification, tailored for researchers, scientists, and drug development professionals.
Transfer Learning for MRI Brain Tumor Detection: Advanced Models, Clinical Implementation, and Future Directions
This article comprehensively reviews the application of transfer learning (TL) for brain tumor detection in MRI scans, tailored for researchers and drug development professionals.
Advanced Feature Extraction Techniques for Cancer Detection: From Biomarkers to Deep Learning
This article provides a comprehensive overview of the latest feature extraction methodologies revolutionizing cancer detection and diagnosis.
Unlocking Cancer Insights: A Comprehensive Guide to Natural Language Processing for EHRs in Oncology Research and Drug Development
This article provides a detailed examination of Natural Language Processing (NLP) applications for analyzing Electronic Health Records (EHRs) in oncology.
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.