Purdue University researchers have designed a novel approach to use deep learning to better understand how proteins interact in the body – paving the way to producing accurate structure models of ...

Writer: Chris Adam, 765-588-3341, [email protected] Source: Daisuke Kihara, [email protected] Abstract Protein docking model evaluation by 3D deep convolutional neural networks Xiao Wang, Genki Terashi, ...

Researchers introduce RhoFold+, a groundbreaking deep learning model that predicts RNA 3D structures with unprecedented accuracy and efficiency, addressing critical challenges in structural biology.

Machines are rapidly gaining the ability to perceive, interpret and interact with the visual world in ways that were once ...

Neural Radiance Fields (NeRFs): This genAI model uses a deep learning technique to represent 3D scenes based on 2D image inputs. Generative AI models are highly scalable and accessible AI ...

Deep Learning (DL) is, in essence, Machine Learning on steroids. It’s a specialized subfield that focuses on algorithms inspired by the structure of the brain, known as artificial neural networks.

The model performed best in the detection of severe glaucoma, with 88% accuracy, 100% sensitivity and 83% specificity, with an area under the curve of 0.92.