TCTMD

New Risk Models Superior to Pretest Probability at Predicting CAD

Among patients with suspected obstructive CAD, two simple models that include clinical risk factors both outperform the commonly used pretest probability (PTP) model when it comes to predicting the ...
Seeking Alpha

ProFound AI Risk Outperforms Traditional, Widely-Accepted Breast Cancer Risk Models for Both Short-term and Long-term Risk Assessments

“The clinical value of ProFound AI Risk is unparalleled, and this exciting research adds to the growing body of evidence that confirms iCAD’s technology is not only more personalized than traditional ...
Dark Reading

Rethinking Cyber-Risk as Traditional Models Fall Short

Rapidly advancing technology, increasingly sophisticated attackers, and a rise in supply chain threats make systemic cyber-risk difficult to assess. An influx of vulnerabilities that continue to amass ...
Open Access Government

Improving food safety risk analysis for safer European food systems

The HOLiFOOD consortium is reimagining food safety risk assessment for the benefit of all stakeholders in the food chain ...
Oil

ML, hybrid risk models predict stuck pipe

Researchers at the University of Texas at Austin produced data-driven and hybrid data-physics based DIP models to analyze stuck pipe incidents at the Frontier Observatory for Research in Geothermal ...
Bloomberg L.P.

The Risky Business of Predicting Where Climate Disaster Will Hit

Humans have tried to predict the weather for as long as there have been floods and droughts. But in recent years, climate science, advanced computing and satellite imagery have supercharged their ...
Healio

Tool that includes bone microarchitecture scans improves fracture risk prediction

A new Fracture Risk Assessment Tool that includes bone microarchitecture measures outperformed the current tool that uses ...