A team of researchers have created a convolutional neural network (CNN) that is able to accurately classify cell death and […]
For the first time, a review explored in depth how big data and artificial intelligence (AI) techniques are currently being […]
Recently, researchers have used machine learning algorithms to investigate genomic alterations associated with metastatic prostate cancer (mCRPC), in the hope […]
Researchers from the University of Virginia School of Medicine have developed a new database of transcriptional regulators, which will help […]
A recent study has explored the concept of a modern and collaborative approach to data-driven drug development called Translational Precision […]
Target prediction with machine learning algorithms can help accelerate the identification of protein targets of hit molecules, limiting the number […]
Following the COVID-19 outbreak, which caused unprecedented disruption to the running of clinical trials, there has been an increasing interest […]
A new study leveraged gene expression data from Alzheimer’s disease patients to identify two Alzheimer’s disease molecular subtypes using consensus […]
A recent study used previously identified viral interactions and human host proteins to apply a machine learning-based approach for connecting […]
Due to the complex nature of central nervous system diseases and the presence of the blood-brain barrier (among other factors), […]
