NatureOpinion

Dozens of AI disease-prediction models were trained on dubious data

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.

In bone imaging, machine learning accelerates research progress and uncovers hidden patterns

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...
Frontiers

AI-Enabled Systems Biology for Mapping Metabolic Vulnerabilities in Cancer: From Multi-Omics Integration to Precision Therapeutic Targeting

Cancer metabolism has re-emerged as a central hallmark of tumor initiation, progression, and therapeutic resistance. Advances in high-throughput ...
IEEE

LiteRT-IDSNet: A Lightweight Hybrid Deep Learning Framework for Real-Time Intrusion Detection in Industrial IoT Using the RT-IoT 2022 Dataset

Abstract: The rapid expansion of Industrial Internet of Things (IIoT) infrastructures has exposed mission-critical systems to sophisticated cyber threats, thereby demanding highly accurate, ...
IEEE

Predicting Student Performance Using Machine Learning Techniques: A Systematic Literature Review

Abstract: Predicting students' academic achievement is a difficult and challenging task, especially with the advancement of machine learning technology. However, despite the belief that learning ...