A recent joint study between Linköping University and the Department of Forensic Genetics and Forensic Toxicology of the ...

ML and AI aren’t a magic wand, but when paired with high-quality data, they’re a game changer. In forensics, and especially ...

SMEs are widely recognized as the backbone of Europe’s economy, yet many face persistent challenges in accessing equity ...

Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...

We present an integrated approach to derive multimodal MRI markers of cognition that can be transdiagnostically linked to psychopathology. This demonstrates that the predictive ability of neural ...

A University of Plymouth team developed a deep-learning model that classified autism with up to 98% accuracy using fMRI data.

The convergence of data science, machine learning, and healthcare represents one of the most promising frontiers in modern ...

This paper proposes a deep learning framework F-GCN that integrates multiple wavelet bases, and extracts MI brain electrical ...

In the year 2025, as AI Agents transition from laboratory experiments to enterprise applications, the RAG ...

Brazilian researchers, in partnership with French institutions, have developed a tool that can predict how patients will respond to natalizumab, one of the most commonly used drugs for treating ...