Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

An artificial intelligence (AI) machine-learning model has been developed that can predict the risk of early death in trauma ...

The human brain is known to naturally change with age, shrinking in size and volume after people reach their 30s or 40s. In ...

Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

A quick optical biopsy using optical coherence tomography (OCT) may improve endometrial cancer screening, according to a study published online June 3 in npj ...

Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

Large-scale recommendation systems are becoming harder to improve because they no longer operate as isolated models. Modern ...

Investigators assessed whether machine learning models provide accurate, individualized risk predictions for major 30-day postoperative complications following glossectomy.