EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...

CASP, the protein structure prediction contest that launched DeepMind’s Alphafold to international fame and a Nobel Prize, ...

Scientists have used DNA's self-assembling properties to engineer intricate moiré superlattices at the nanometer ...

Herein, we explore the potential of a deep learning model to automatically distinguish abnormal cells from normal cells. The ThinPrep cytologic test dataset was collected from the fourth central ...

A deep convolutional neural network, Mask R-CNN, is used to detect and segment stain-free adherent cells, leading to a considerable increase in operational efficiency and subsequent throughput. In the ...

Compared to a previous deep learning AI method, Mizzou's tool is more than twice as accurate when analyzing human single-cell data.

Protein structure prediction (PSP) is a vital challenge in bioinformatics, structural biology and drug discovery. Protein secondary structure (SS) prediction is critical since three-dimensional (3D) ...

In this study, we demonstrate a modular deep learning system, DeepCAN, providing a complete solution for automated cell counting and viability analysis. DeepCAN employs three different neural network ...