A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

Explore how proteomics in biomarker discovery accelerates diagnostic assay development and improves clinical validation.

As disruption becomes constant, digital twins are emerging as essential tools for predicting and managing air cargo terminal ...

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

Objectives Acute anterior ischaemic optic neuropathy (AION) is a feared ischaemic complication of giant cell arteritis (GCA).

After a multi-year competition, the U.S. National Institute of Standards and Technology (NIST) selected a suite of algorithms for standardization. For key exchange, the primary choice is the ...

Background Socioeconomic exposures related to anaemia in Peruvian children have been modelled assuming additive or log-additive relationships, yet such approaches overlook the fact that illness ...

The Challenge of Reintubation in Pediatric Cardiac Surgery Despite impressive advances in pediatric cardiac surgery—with over 91% of patients surviving their procedures—reintubation ...

At its most basic, beginner level, the Curly Girl Method involves cutting out ingredients and products that hurt your curls (like anything drying or harsh), and then adding in things that heal, ...