Key factors driving this growth include the increasing need to lower drug development costs and timelines, the rising ...

Those changes will be contested, in math as in other academic disciplines wrestling with AI’s impact. As AI models become a ...

AI algorithms that can identify which patients are most likely to benefit from a drug recently backed for NHS use as a colorectal cancer (CRC) therapy have been developed by scien ...

AI is revolutionizing how healthcare is delivered. Eliminating human error, AI can make healthcare more accurate, accessible, ...

In the contemporary sociopolitical context, very few concepts are as relevant and evolving as biopolitics. The conceptual contours of biopolitics focus on how modern states exercise power not only ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the ...

Abstract: The purpose of this study is to estimate and predict onion wholesale price volatility using statistical and machine learning algorithms. Traditional models like ARIMA and GARCH were compared ...

The compressive strength (CS) is the most important parameter in the design codes of reinforced concrete structures. The development of simple mathematical equations for the prediction of CS of ...

Check out this new research in Engineering! It introduces an adaptive edge-cloud collaboration method for intelligent machine ...

Nevada researchers are developing a robotic watering system and a facial-recognition AI model to identify and capture data on ...

Ischemic heart failure (IHF) is a major cause of cardiovascular morbidity worldwide, characterized by complex tissue remodeling and inflammation. However, reliable molecular biomarkers for early ...