A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

The study by researchers at Benha University shows that cost overruns in Egyptian road projects are mainly caused by unclear ...

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

Pupil dilation provides a physiological readout of information gain during the brain's internal process of belief updating in the context of associative learning.

Introduction After the WHO prequalified the first vaccine against mpox, we aimed to identify the influence of vaccine ...

Lixplore-cli is a Python CLI tool for researchers. Search papers, filter results, and manage your library from the terminal.

Objective: To understand patient portal engagement stratified by patient characteristics among adults 50 years and older with at least 1 common chronic medical condition using electronic health ...

By adopting a Data-First approach, you can build connected intelligence while providing AI analysis to automate ...

Objective Anxiety affects up to one-third of adults with asthma and is linked to poorer disease outcomes and reduced quality ...

Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...

Introduction Each year, millions of people experience recurrent diverticulitis episodes. Elective sigmoid colon resection reduces the risk of recurrence, but The American Society of Colon and Rectal ...

Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...