As the use of machine learning algorithms in health care continues to expand, there are growing concerns about equity, fairness, and bias in the ways in which machine learning models are developed and ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation Forecasting inflation has become a major challenge for central banks since 2020, due to supply chain disruptions and ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation The qualitative and granular nature of most structural indicators and the variety in data sources poses difficulties for ...

PDF Solutions ( ($PDFS) ) has released its Q3 earnings. Here is a breakdown of the information PDF Solutions presented to its investors. PDF ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

In the UK, there was a case where TGN1412, an immunotherapy under development, triggered a cytokine storm within hours of administration to humans, leading to multiple organ failure.

A multinational collaboration at Eitri medical innovation center in Bergen, Norway, has used machine learning models to identify patient groups at risk of being mistreated.