The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

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

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

Nigeria faces enormous public service challenges from traffic congestion in high urbanised areas to insecurity, healthcare delays, and inconsistent public planning. But with the right use of ...

With over a decade of experience architecting and operating large-scale cloud environments across AWS, Azure, and Google ...

Cofactor Genomics, a commercial-stage diagnostics company transforming precision oncology through RNA-based predictive tests, today announced strategic investments from Labcorp and Ascension Ventures.

Chad Beam provides the ins and outs of the implementation of GIS, advanced communication systems and predictive modeling to ensure that staffing, to whatever extent, is utilized most effectively. A ...

A predictive model identifies RA patients at risk of D2T-RA, using machine learning and real-world data for early intervention. Patient-reported outcomes, such as pain and fatigue, are stronger ...