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 ...
Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...
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 ...
Food-insecure individuals have fewer total annual visits (in-person and via telehealth) across 4 types of office-based and outpatient visits: general checkup, diagnosis or treatment, psychotherapy or ...
Study identifies 1,376 genes linking psychiatric and skeletal disorders, with implications for early prevention strategies.
Machine learning models reveal that histone marks are predictive of gene expression across human cell types and highlight important nuances between natural control and the effects of CRISPR-Cas9-based ...
Health Insurance Equity, Social Determinants, Socioeconomic Status, Insurance Quality, Urban-Rural Disparity, Hukou, China ...
A simple rule of thumb: In general, AI is best reserved for well-defined, repetitive tasks. This includes anything that ...
The December precious metals surge, including silver and platinum, and commodity index rebalancing could elicit some ...
The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...
Special thanks to L.C. Norton of SB Nation’s Indiana coverage for joining me on this week’s podcast to discuss the Hoosiers’ ...
A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen content without relying on labor-intensive field measurements.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results