A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become increasingly ...

Japanese researchers develop an adaptive robot motion system that enables human-like grasping using minimal training data.

That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Machine learning models reveal that histone marks are predictive of gene expression across human cell types and highlight important nuances between natural control and the effects of CRISPR-Cas9-based ...

The job market faces a persistent gap between AI knowledge and practical application. Employers seek professionals who can navigate real-world challenges.

Researchers develop an adaptive motion system that allows robots to generate human-like movements with minimal data ...

New Study Shows SIK1 Strengthens Antiviral Immunity to Limit EV-D68–Induced Asthma Exacerbations Asthma is a chronic ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.