Machine learning algorithms enhance retinopathy of prematurity screening using smartphone images, expanding access in low-resource settings and easing pediatric ophthalmologist workloads.

Artificial intelligence and robotics are revolutionizing drug discovery by automating laboratory processes and enabling rapid, data-driven breakthroughs. This hybrid approach is cutting costs, ...

An automated machine-learning program developed ... and without doing specific screening for AAC, this prognosis would often go unnoticed. By applying this algorithm during bone density scans ...

"By leveraging machine learning, we can provide a tool that helps policymakers and clinicians make more informed choices, ultimately improving the impact of genomic screening programs." The ...

One of the things that makes the main particle accelerator at the U.S. Department of Energy's Thomas Jefferson National ...

Researchers from Rice University (TX, USA) have developed a new machine learning algorithm that interprets optical spectra of molecules, materials and disease biomarkers in biological samples, ...

It's critical that we be thoughtful about which genes and conditions are included in genomic newborn screening programs. By leveraging machine learning, we can provide a tool that helps ...

Catalysis plays important roles in chemical transformations, impacting industries ranging from pharmaceuticals and materials to energy production. The ...