Reviewed by Margaret JamesFact checked by Jared EckerReviewed by Margaret JamesFact checked by Jared Ecker Predictive modeling uses known results to create, process, and validate a model to forecast ...

The predictive variables assessed were age at EGPA diagnosis, baseline eosinophil count, history of chronic sinusitis prior to diagnosis, and glucocorticoid-treated asthma at diagnosis.

Geisinger and IBM this week announced this week that they've co-created a new predictive model to help clinicians flag sepsis risk using data from the integrated health system's electronic health ...

A new technique able to forecast how changes to parameters will impact biomanufacturing processes could revolutionize drug production, save manufacturers time and money, and help increase access to ...

Read more about From disease detection to biomass forecasting: AI improves aquaculture risk strategy on Devdiscourse ...

Hospitals are looking to invest in new technologies and work-on innovations that will improve the care patients receive. To learn more about how hospitals are adopting new technologies such as ...

Two new advanced predictive algorithms use information about a person's health conditions and simple blood tests to accurately predict a patient's chances of having a currently undiagnosed cancer, ...

Researchers at the University of Maryland and Tilburg University in the Netherlands have produced an AI-driven innovation to ...

MyHomeQuote introduced Performance Prediction Algorithm, technology designed to move campaigns from reactive optimization to predictive performance management.