A study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients with ...

Imagine you are developing antibodies—drugs precisely aimed at a target, for example a viral protein or onco-marker. You test a series of antibodies and find that some work, while others do not.

When Data Mining Meets Large Models: A New Paradigm of Data Value Mining in the Age of Artificial Intelligence ...

A recent joint study between Linköping University and the Department of Forensic Genetics and Forensic Toxicology of the ...

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...

By combining AI with molecular dynamics simulations, researchers at the Department of Energy's Oak Ridge National Laboratory have developed a new tool to more accurately predict how plants and helpful ...

Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.

A landmark has been reached in the field of physics and artificial intelligence with the successful resolution of a ...

With increasingly complex market dynamics, traditional personalization alone is no longer sufficient. Enter predictive AI ...

Cell C, which has 7.6 million subscribers, is working on artificial intelligence (AI)-driven technologies that will enable it ...

Tipping points in our climate predictions are both wildly dramatic and wildly uncertain. Can mathematicians make them useful?

Scientists characterized the largest sample of a neural circuit to date to improve artificial intelligence models and better ...