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 ...

Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...

AI cyberattacks are rapidly transforming the cybersecurity landscape, enabling attackers to automate and scale operations with unprecedented speed. Through machine learning hacking, adversaries can ...

Talk about being a dedicated paw-rent. When his 8-year-old dog Rosie had mere months to live due to deadly mast cell cancerous tumors, Australian tech entrepreneur Paul Conyngham took matters into his ...

This project implements a comprehensive ML pipeline to predict sepsis risk using clinical indicators. It provides both a command-line training interface and a web-based prediction interface for ...

Novartis has settled a lawsuit by the estate of Henrietta Lacks that alleged the pharmaceutical giant unjustly profited off her cells, which were taken from her tumor without her knowledge in 1951 and ...

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

Surgery is usually the main treatment for basal cell carcinoma and squamous cell carcinoma as well as most types of melanoma. Other times, surgery is used together with other treatment types.

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.