Researchers from UC Berkeley, Yale, Stanford’s Global Policy Laboratory, and NBER developed a deep learning method to predict ...

A recent Scientific Reports study discusses the potential of retinal fundus imaging as a diagnostic screening modality for Parkinson's disease (PD). Study: Deep learning predicts prevalent and ...

A study published in the journal Nature showed that the thymus, a small organ in the chest known for training the immune system in childhood, is also important for long-term health and lifespan.

A research team from Tohoku University Graduate School of Medicine undertook a detailed examination of the medical validity of deep learning models using post-mortem imaging for diagnosing drowning.

In a recent study published in the journal Science Advances, researchers described a deep learning (DL)-based reconstruction framework to accelerate brain magnetic resonance imaging (MRI) at 0.055 ...

Scientists have developed AI-based system that can predict wheat yields early and with high accuracy using handheld field ...

Deep learning methods have been used to augment existing energy-based physical models in 'do novo' or from-scratch computational protein design, resulting in a 10-fold increase in success rates ...

With wildfires growing more destructive both in the United States and around the world, University at Buffalo researchers have conducted one of the most extensive evaluations to date of artificial ...

Analytical validation of the Labcorp Plasma Complete test to enable precision oncology through solid tumor liquid biopsy comprehensive genomic profiling. This is an ASCO Meeting Abstract from the 2024 ...

A single 20-minute session on a stationary bike can trigger a measurable surge in memory-linked electrical activity deep inside the brain, according to new research from the University of Iowa. The ...