Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

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 ...

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

A conversation with Professor Miraz Rahman, Head of the Department of Drug Discovery at King’s College London.

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

Artificial intelligence (AI) is a broad term used to describe various types of virtual "intelligence" designed to replicate aspects of human cognitive abilities. Machine learning (ML) is a type of AI, ...

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

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...