LIMA, Ohio (WLIO) — As summer activities ramp up, medical professionals are encouraging people to take precautions in the sun to help prevent long-term skin damage and reduce the risk of skin cancer.

Abstract: Skin cancer is a serious global health concern, highlighting the necessity of early detection and treatment. A specialized Convolutional Neural Network (CNN) model was created to automate ...

These products combine the best of both worlds, offering the UV protection of sunscreen with the hydration of moisturizers. They're not a full replacement for sunscreen, to be clear, but can hold up ...

ABSTRACT: Acute Lymphoblastic Leukemia (ALL), a highly aggressive subtype of blood cancer, demands early and accurate diagnosis to improve patient outcomes ...

Abstract: Skin cancer is the leading and critical healthcare challenge and affects all age groups. This survey focuses on development in Machine Learning (ML), Deep Learning (DL) and hybrid techniques ...

A team of researchers from the University of Chicago's Pritzker School of Molecular Engineering (UChicago PME) has used Quantum Machine Learning (QML) to identify cancer early. Their innovative ...

Blood or marrow transplant recipients face higher skin cancer risk due to monoclonal antibody treatment, chronic graft-versus-host disease, and post-transplant immunosuppression. AI shows potential in ...

Skin cancer is the most commonly diagnosed cancer in the United States, affecting one in five Americans during their lifetime. While basal cell carcinomas (BCCs) and squamous cell carcinomas (SCCs) ...

Background: Preoperative endometrial cancer (EC) diagnosis often depends on radiologists’ expertise, which introduces subjectivity. Recent studies have explored radiomics-based machine learning (ML) ...

Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...