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Early warning for diabetes: AI model identifies prediabetes risk with high accuracy
A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...
Two-photon imaging and ocular dominance mapping. A. Optical windows for imaging of two macaques. Green crosses indicate the regions for viral vector injections, and yell ...
This article is the second installment in our three-part series, Artificial Intelligence as Intellectual Property or “AI as IP™”, which explores ...
THE LANDSCAPE of modern cardiology is undergoing a profound transformation, driven by the emergence of AI as a powerful tool ...
An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...
Serious segmentation is not a mere snapshot of the market. It plots and overlays multiple layers: data on strategic human ...
To make good decisions, people, automation and AI systems need quality data — but to let an AI agent make an autonomous ...
Artificial intelligence is currently advancing at a velocity that few executives have witnessed in their careers. New capabilities are not emerging annually, but quarterly, and in some cases, monthly.
Traditional financial distress prediction relies heavily on backward-looking financial indicators such as leverage, liquidity ...
Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
Wearables and home-based diagnostic technologies are expected to expand significantly in the mid-term. Continuous ...
Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...
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