A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in ...
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AI-driven assistant calculates best injection molding settings and explains decisions in multiple languages
Most of the plastic products we use are made through injection molding, a process in which molten plastic is injected into a ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI.
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 ...
Background Despite anticoagulation, patients with atrial fibrillation (AF) experience persistent elevated cardiovascular risk ...
Translational modelling has emerged as a critical approach in environmental health and pharmacology, offering new pathways to predict human health risks ...
Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...
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