Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

We describe a largely unbiased method for rapid and large-scale proteome analysis by multidimensional liquid chromatography, tandem mass spectrometry, and database searching by the SEQUEST algorithm, ...

With sleep regression, just when your baby starts to develop a favorable pattern of sleep that's more predictable, everything changes. Your baby may be fussier and will refuse to sleep at nap time or ...

Objective Socioeconomic inequalities significantly impact access to healthcare services for individuals with type 2 diabetes mellitus (T2DM). This study investigates these inequalities in Iran, ...

(2026) AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines. Open Journal ...

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...

The design of short LAM-PCR amplicons that do not exceed several hundred base pairs is critical for the efficiency of each analysis. Amplicons should be long enough to be resolved by electropheresis ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Background Asthma is an umbrella diagnosis encompassing distinct pathophysiological mechanisms. While a global problem, our ...