Researchers have carried out a study investigating whether deep neural networks can represent associations between gene expression, histology and medical […]
A research group at the Institute for Research in Biomedicine (IRB) in Barcelona has developed a machine-learning tool that uses […]
A team of researchers have created a convolutional neural network (CNN) that is able to accurately classify cell death and […]
Despite being applied successfully to image recognition, Siamese recurrent neural network has rarely been explored in drug discovery. A recent […]
Graph neural networks are powerful computational tools that can predict relationships from graphs at the node, edge and graph level. […]
For the first time, a review explored in depth how big data and artificial intelligence (AI) techniques are currently being […]
A recent article proposed the mining of knowledge graphs to identify biomolecular adverse drug reaction mechanisms, which at present largely […]
Due to the complex nature of central nervous system diseases and the presence of the blood-brain barrier (among other factors), […]
Drug-induced liver injury is a common reason for the withdrawal of a drug from the market. Therefore, early assessment of […]
A recent study used machine learning to identify unoptimized short linear peptides, which represent promising candidates for blood glucose regulation […]
