Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

CERES program updates include operational satellite instruments, algorithm advancements, machine learning applications, and ongoing missions measuring Earth’s energy budget and climate system changes.

Broadcom enters 2026 at an inflection point, with strong tailwinds from its ASIC and Networking segments. Read why AVGO stock ...

ABSTRACT: Understanding why a machine learning model makes a certain prediction is just as critical as how accurately it predicts, especially when it comes to diagnosing and treating cardiovascular ...

Background: Heart failure (HF), with its distinct phenotypes, poses significant public health challenges. Early diagnosis of specific HF phenotypes is crucial for timely therapeutic intervention.

Abstract: Random forest (RF) is widely regarded as one of the most prevalent machine learning algorithms. To achieve higher precision, the structure of decision trees that serve as base learners in RF ...

ABSTRACT: In the past decade, Internet Of Things (IOT) technology has become one of the fastest-growing and most widely used technologies and is rapidly becoming a basic feature of global civilization ...

Background: Inflammatory bowel disease (IBD) poses significant mortality risks for critically ill patients requiring intensive care unit (ICU) admission, driven by complications such as malnutrition, ...

Abstract: Several downscaled datasets of sun-induced chlorophyll fluorescence (SIF) enhance the quality of raw SIF satellite retrievals and offer a better perspective for monitoring terrestrial ...