Biomarkers – Multimedia

By taking a multidisciplinary approach that integrates engineering, electronics and nanotechnology with state-of-the-art chemistry and molecular diagnostics tools, we are entering a new phase of personalized medicine. Download this listicle to learn more about the four top trends in personalized medicine.

To accelerate the discovery of new cancer biomarkers and new insights into the genetics of treatment-resistant tumors, it is crucial to gain a deeper understanding of the genomic and epigenomic variations in cancer.

Through a selection of articles, interviews and graphics, this eBook will provide readers with an overview of key advances in proteomics technologies and the applications of proteomics research.

This app note highlights a highly sensitive method developed for the detection of GalSPH and GluSPH in CSF.

This whitepaper explores the latest reagents and software available to enhance tumor exome profiling for the generation of accurate, actionable clinical insights.

This episode provides an overview of spatial biology and what applications scientists can pursue by exploring this area.

This whitepaper explores the role of extracellular vesicles in cell-to-cell communication during cancer progression. It also highlights a range of high-quality recombinant proteins, antibodies and cytokines and to support exosome research.

Although there are initiatives to de-risk the drug development process, continually applying the same tools and approaches is unlikely to lead to innovative, first- or best-in-class targets and transformative progress.

According to the World Health Organization (WHO), cancer is a leading cause of death worldwide. Furthermore, recent estimates predict that as many as one in two people could develop a form of cancer in their lifetime.

Bile acids are well known for their roles in cholesterol homeostasis, lipid absorption and as metabolic signaling molecules. They are implicated in a variety of disease states and therefore serve as an exciting focus on research in novel biomarker discovery.