Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...

By Hugo Francisco de Souza A new study shows that gut microbiome signatures, analyzed through advanced machine learning, can help identify individuals with more severe insulin resistance, offering ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

In a recent study published in the journal Nucleic Acids Research, researchers investigate whether machine learning can identify pan-cancer mutational hotspots at persistent CCCTC-binding factor ...

The question of whether prehospital emergency anaesthesia and intubation improves survival in patients with major trauma has ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of two-dimensional memories, systems that can reliably store information despite ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could ...

A recent study suggests that a freely available AI tool could help predict dangerous complications after stem cell transplants.

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...