researchers from Texas Tech University developed a deep learning model to classify cancer cells by type. The tool requires only a simple microscope and a small amount of computing power ...

"PepFlow leverages deep-learning to capture the precise and accurate conformations of a peptide within minutes. There's potential with this model to inform drug development through the design of ...

Researchers have developed a new, interpretable artificial intelligence (AI) model ... women will develop breast cancer through screening alone. Mirai, a state-of-the-art, deep learning-based ...

Chinese researchers have proposed a novel hybrid deep-learning model to address streamflow forecasting for water catchment areas at a global scale, with a view to improving flood prediction ...

Neural Network Nodes, Deep ... learning model to rapidly predict protein expression using their moss-based production process. The model can reduce the time needed for early cell line development ...

The researchers first used this new model for 2D ... to explore additional deep learning algorithms for 3D object detection, recognizing the current focus on 2D image development.

Researchers have developed a new, interpretable artificial intelligence (AI) model ... women will develop breast cancer through screening alone. Mirai, a state-of-the-art, deep learning-based ...

Researchers at the University of Toronto have developed a deep-learning model ... researchers in the development of therapeutics. “Peptides were the focus of the PepFlow model because they ...