de Filippis, R. and Al Foysal, A. (2026) Cross-Population Transfer Learning for Antidepressant Treatment Response Prediction: A SHAP-Based Explainability Approach Using Synthetic Multi-Ethnic Data.

Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...

Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...

Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister chromatid ...

This project implements an advanced Virtual Machine Placement (VMP) optimization system that leverages multi-objective genetic algorithms, machine learning predictions, blockchain technology, and ...

A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence microscopy with computer vision and machine learning.

GE HealthCare Technologies Inc. (NYSE: GEHC) leads with 100 FDA-approved AI devices, concentrating heavily on imaging and diagnostics. Their CleaRecon DL technology sharpens cone-beam CT images using ...

A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...

This project focuses on detecting cyber attacks using machine learning techniques. It employs various algorithms to analyze network traffic and identify potential threats in real-time.

Music recommendation algorithms were supposed to help us cut through the noise, but they just served us up slop. If you buy something from a Verge link, Vox Media may earn a commission. See our ...