A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

Bottom Line: A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient’s risk of hepatocellular carcinoma (HCC), ...

When you’re waiting to learn whether or not you have cancer, it’s fairly easy to assume the worst. Everyone knows someone whose life has been touched by cancer - and there’s no escaping the many ...

Cardiovascular disease (CVD) remains the foremost contributor to global illness and death, underscoring the critical need for effective tools that can predict risk at early stages to support ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...

Abstract: The incidence of skin cancer, particularly melanoma, has been on the rise globally, presenting significant challenges in diagnosis and treatment due to limitations in traditional methods, ...

Deep learning based melanoma detection system using a custom CNN architecture. Includes model comparison, class imbalance handling, and a Gradio web interface for real-time skin lesion prediction.

ABSTRACT: Breast cancer is the most common cancer among women worldwide, posing significant diagnostic challenges. Traditional diagnostic techniques, while foundational, often lack precision and fail ...

Melanoma remains one of the hardest skin cancers to diagnose because it often mimics harmless moles or lesions. While most artificial intelligence (AI) tools rely on dermoscopic images alone, they ...