Frontiers

Application of Bioinformatics, Machine Learning, and Artificial Intelligence to Improve Diagnosis, Prognosis and Treatment of Cancer

Cancer is the second leading cause of death worldwide. Since age is one of the risk factors for the development of cancer, ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Science Daily

This ultra-sensitive imaging system can spot cancer earlier

A new imaging technology can distinguish cancerous tissue from healthy cells by detecting ultra-weak light signals. It relies ...
IEEE

Predicting Breast Cancer by Analysing Wisconsin Dataset Through Machine Learning Algorithms Using Orange Tool

Abstract: Breast cancer is still a major global health issue, and early detection is important for better patient outcomes. This research discusses the use of machine learning algorithms for ...
BMJ

Shared decision-making using a decision aid for patients with breast cancer considering breast reconstruction: study protocol for a cluster-randomised controlled trial in Japan

Introduction Shared decision-making (SDM) requires that individuals are correctly and smoothly supported to make decisions. However, in Japan, development of decision aids (DAs) to support ...
People

Sperm Donor with Cancer-Causing Gene Fathered at Least 197 Children, Says Report

Some children have already died and only a minority who inherit the mutation will escape cancer, a new report stated on Wednesday, Dec. 10 Becca Longmire is a digital news writer-reporter at PEOPLE.
IEEE

Enhanced Breast Cancer Classification Using Attention-Augmented CNN and Multi-View Learning on the Inbreast Dataset

Abstract: Breast cancer remains a leading cause of mortality among women worldwide, emphasizing the critical need for accurate and early diagnosis. Convolutional Neural Networks (CNNs) have ...