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

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its ...

Nia Therapeutics announced publication in Brain Stimulation of the first in vivo validation of its Smart Neurostimulation System (SNS), a wireless, implantable brain-computer interface designed for ...

Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Acute systemic inflammation has long been suspected to trigger harmful processes within the brain, contributing to ...

AIQuant Labs has launched DexTrader.ai, a machine learning-powered investment platform designed to bring institutional-grade ...

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 ...

According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...