The Consortium for State and Regional Interoperability (CSRI), a collection of the nation’s largest and most robust nonprofit health data networks, announced today the release of their new Health Data ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Corpus Christi are using advanced AI to forecast future sea levels, helping local emergency experts better prepare for coastal flooding.

Could slightly elevated blood sugar levels lead to serious health problems in the future? A single patient's question sparked ...

A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...

It seems like everyone wants to get an AI tool developed and deployed for their organization quickly—like yesterday. Several customers I’m working with are rapidly designing, building and testing ...

Navigating the world of data analytics can often feel like solving a complex puzzle. If you’ve already dipped your toes into Power BI and are eager to dive deeper, you’re in the right place. This ...

Upstream Bio, Inc. presented data at the European Academy of Allergy & Clinical Immunology Congress highlighting the advantages of verekitug, a treatment targeting the TSLP receptor, over tezepelumab, ...

The researchers argue that the integration of explainable AI into clinical decision-making pipelines could reshape cancer ...