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 ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
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.
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Gut bacteria patterns help predict insulin resistance in type 2 diabetes, study finds
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 ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...
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Machine learning model predicts serious transplant complications months before symptoms appear
A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...
A recent study suggests that a freely available AI tool could help predict dangerous complications after stem cell transplants.
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