Research Articles
Comprehensive Validation of Anticancer Compounds: A Guide to MCF-7 Cell Line In Vitro Assays
This article provides a comprehensive guide for researchers and drug development professionals on the validation of anticancer compounds using the MCF-7 breast cancer cell line.
Machine Learning vs. Deep Learning for Cancer Detection: A Comparative Analysis for Researchers and Drug Developers
This article provides a comprehensive comparative analysis of Machine Learning (ML) and Deep Learning (DL) methodologies for cancer detection, tailored for researchers, scientists, and drug development professionals.
Medical Image Denoising: A Comprehensive Guide to Techniques, Validation, and Clinical Application for Researchers
This article provides a comprehensive analysis of data denoising techniques for medical images, tailored for researchers, scientists, and drug development professionals.
External Validation of Cancer Risk Prediction Algorithms: A Foundational Guide for Biomedical Research and Clinical Translation
This article provides a comprehensive overview of the critical role of external validation in the development and implementation of cancer risk prediction algorithms.
Mitigating Overfitting in Cancer Detection Models: Strategies for Robust and Generalizable AI
This article provides a comprehensive analysis of overfitting, a critical challenge that compromises the generalizability and clinical reliability of deep learning models in cancer detection.
Advanced Feature Selection Methods for High-Dimensional Oncology Data: From Foundations to Clinical Applications
This article provides a comprehensive guide to feature selection techniques tailored for high-dimensional oncology data, such as gene expression, DNA methylation, and multi-omics datasets.
Convolutional Neural Networks for Lung Nodule Malignancy Prediction: From Fundamentals to Clinical Translation
This article provides a comprehensive exploration of Convolutional Neural Networks (CNNs) for predicting lung nodule malignancy, a critical task in improving early lung cancer diagnosis.
Hyperparameter Tuning for Cancer Prediction: A Researcher's Guide to Optimizing Model Performance
This article provides a comprehensive guide for researchers, scientists, and drug development professionals on applying hyperparameter tuning to enhance the performance of machine learning models for cancer prediction.
Overcoming the Implementation Gap: Key Challenges and Solutions for Deploying AI in Clinical Practice
This article synthesizes the current landscape, challenges, and future directions for deploying Artificial Intelligence (AI) models in clinical practice and drug development.
Deep Learning Architectures in Medical Image Analysis: A Comprehensive Review from CNNs to Transformers
This article provides a comprehensive overview of deep learning architectures revolutionizing medical image analysis.