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, ...

Researchers turn cancer resistance mutations into targets for new immunotherapies

One of the most challenging moments in cancer treatment comes when a therapy stops working. In many metastatic cancers, drugs ...
IEEE

A Multi-Level Patch Dataset for JPEG Image Quality Assessment by Absolute Binary Decision

Abstract: Image quality assessment (IQA) plays a fundamental role in evaluating image processing. Currently, JPEG AIC specifies the IQA methods, dividing them into three levels: AIC-1, 2, and 3. AIC-1 ...
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

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 ...