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

According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...

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 ...

The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

Artificial intelligence is revolutionizing drug discovery and antibody engineering, accelerating the creation of new ...

A new Israeli study suggests that machine-learning models may soon give growers a far more precise way to predict how much water their crops use each day, while also laying the groundwork for earlier ...

This special report introduces small area estimation as a modern approach for producing reliable, stand-level forest ...

Artificial intelligence has become both the weapon and the shield in today’s cyber battlefield. From self-learning malware to adaptive firewalls, AI is reshaping the balance of power between attackers ...

While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...

Artificial Intelligence enabled threat detection for Blockchain attacks mainly involved in the application of deep learning and machine learning techniques to identify and mitigate vulnerable and ...