Bioinformatics

System predicts tumor response to different treatments

New tool enables clinicians to quantify, within seconds, fat infiltration of muscle and bone and predict the risk of falls and fractures in older people

Researchers have developed a statistical model that uses genomic data to predict the risk of developing cancer of the esophagus

Researchers have performed an extensive computational analysis of around 28,000 tumors from 66 types of cancer and have identified 568 cancer driver genes

Machine learning algorithm uses high-temporal-resolution growth curves to identify pathogens with 98 percent accuracy

New platform is a web-native extension of Cytel’s world-renowned East® software for adaptive clinical trial design and analysis

New research has identified several genes that appear to drive disease risk at birth, and which could be targeted for therapeutic intervention to stop these diseases

Novel microbiome-based diagnostic tool represents a giant leap in identifying liver fibrosis and cirrhosis in human patients

The online COVID Digital Pathology Repository is a virtual collection of high resolution microscopic COVID-related human tissue images hosted at the National Institutes of Health

Groundbreaking method uses biomarkers to detect sepsis two to three days before the first clinical symptoms appear