Frontiers

Generative AI and Multimodal Learning for Early Gastric Cancer Detection Using Small, Imbalanced, and Heterogeneous Clinical Data

Gastric cancer remains one of the leading causes of cancer-related mortality worldwide, primarily due to late-stage diagnosis ...

Silicon-slide imaging could speed cancer diagnosis with 99% agreement, no dyes needed

Scientists at King Abdullah University of Science and Technology (KAUST) have developed a new stain-free imaging platform designed to analyze tissue samples more quickly and consistently, supporting ...
Medscape

The Growing Role of AI in Cancer Treatment

Cancer care is becoming too complex for any one clinician to track alone, making AI an increasingly valuable tool in modern ...
Frontiers

AI-Driven Genomic and Diagnostic Modeling in Breast Cancer

Breast cancer is a biologically heterogeneous disease in which genomic complexity, dynamic tumor evolution, and variable therapeutic response continue to ...
IEEE

A Predictive Model to Detect Cervical Diseases Using Convolutional Neural Network Algorithms and Digital Colposcopy Images

Abstract: Cervical diseases, specifically cervical cancer (CC), are among the leading causes of death around the globe, imposing a significant challenge to scientists and healthcare providers dealing ...