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Here's an open invitation to steal. It goes out to cancer fighters and tempts them with a new program that predicts cancer drug effectiveness via machine learning and raw genetic data.

Scottish Equity Partners (SEP) completes a significant investment in Dotmatics.

Scientists have solved a decade-old mystery that could eventually lead to the development of earlier treatments for one of the world’s deadliest diseases, which affects up to 2 billion people.

A new statistical model has enabled researchers to pinpoint 27 novel genes thought to prevent cancer from forming, in an analysis of over 2000 tumours across 12 human cancer types.

Researchers have produced the first three-dimensional (3D) map of a molecular 'scaffold' called SgK223, known to play a critical role in the development and spread of aggressive breast, colon and pancreatic cancers.

With the help of proteomics and computer modeling, researchers have discovered the specific mechanism the body's T cells use to kill bacteria.

Support and recognition for biodiversity research with potential for global impact.

For the detection of lipids indicative for diseases, healthy and sick organisms are typically compared quantitatively. This comparison requires reliable and detailed information about the structure and composition of lipids from tissue samples - and to this end researchers from the BioTechMed-Graz initiative have developed a tool which is presented in the current issue of Nature Methods.

Lonza’s MODA-EM™ Version 3.3 software enables microbiology Quality Control (QC) laboratories to comply with new regulatory guidelines.

Findings from a new study suggest that the tissue immediately surrounding a tumor may not be normal, even if it appears normal under the microscope.