Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

ML is poised to become faster and more accessible by 2026. Simply having the support of GenAI already gives it an advantage over other AI-based solutions.

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...

Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more personalized vaccines, including vaccines for cancer. They described the tool in ...

Xanadu, a global leader in quantum computing software and quantum-photonic hardware, today announced a new research initiative with Lockheed Martin, the global defense and technology company, to ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

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

Research authored by partners from the Bottle Consortium and published in Nature Communications this month aims to challenge ...

The partners in Lantern, a machine learning software firm focused on product distribution, pitched the technology to HVACR ...

Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...