Lung cancer is one of the leading causes of cancer death among men and women in the US. One option […]
Researchers from The Biomedical Genomics Laboratory at IRB Barcelona have developed a computational tool that identifies cancer driving mutations for […]
Contrary to prior clinical trials, researchers have revealed that metastatic urothelial cancer patients with fibroblast growth factor receptor (FGFR) mutations […]
Researchers have carried out a study investigating whether deep neural networks can represent associations between gene expression, histology and medical […]
An artificial intelligence-based model has been used to match molecularly targeted agents (MTAs) to individual molecular tumour profiles, in the […]
Recently, researchers have developed a machine learning approach that can predict the fitness trajectories of cancer cells in response to […]
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 […]
Graph neural networks are powerful computational tools that can predict relationships from graphs at the node, edge and graph level. […]
Researchers have conducted a multi-country Iberance Real World Insights (IRIS) study, which aims to provide country-specific real-world data that can […]
