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 ...

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 ...

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 University of Michigan study used AI to create a digital twin replica of gliomas to shed light on the metabolic pathways activated by brain tumors.

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

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 ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...