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

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

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

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

Eggs are more than just a breakfast staple – they’re a global nutritional powerhouse packed with essential vitamins, minerals ...

A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

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

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 ...

An interdisciplinary study released recently has revealed how artificial intelligence and data science can help preserve endangered indigenous cultural ...

A research team has developed a low-cost, high-throughput phenotyping platform that continuously measures plant transpiration ...