Extremely preterm birth (EPB), defined as delivery before 28 weeks of gestation, poses significant challenges in ...
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 predictive model identifies RA patients at risk of D2T-RA, using machine learning and real-world data for early intervention. Patient-reported outcomes, such as pain and fatigue, are stronger ...
A pilot program that uses big data to predict which lung cancer patients will require a trip to an emergency department (ED) successfully anticipated a third of all ED visits over a two week trial ...
Tech Xplore on MSN
Choosing experiments randomly can help scientists develop better theories, new model reveals
The race to develop a virtual scientist—an AI creation that conducts every stage of research, from idea to publication—has ...
To better understand decision-making, researchers can create computational models—groups of equations that aim to predict what decisions people would make when faced with a set of choices. For example ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results