Latest Listicles

This article explores five key advances driving pharmacogenomics, including long-read sequencing, AI, real-world data integration, polygenic risk scores and multiomics, all aiming to improve personalized medicine and drug response predictions

This article highlights key preanalytical factors, including blood collection techniques, anticoagulant choice, centrifugation conditions, processing time and storage practices that impact data quality and biomarker discovery.

ADHD diagnosis currently relies on behavioral tests and patient interviews – could biomarkers offer a more accurate and objective diagnostic approach?

At the Galien Forum 2025, experts discussed the future of healthcare, focusing on collaboration and patient-centered care.

By measuring metabolite levels in an environment, scientists can derive information about these environments. Download this listicle to explore the use of metabolomics in diagnostics, personalized medicine and agriculture.

Some genetic diseases, like sickle cell anemia, are hereditary and present at birth. Others can be caused by spontaneous mutations, either arising from errors in DNA replication or exposure to environmental factors.

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.

Download this listicle to explore how proteomics is being applied in drug discovery and biomedical research, food industry, agriculture, environmental science and forensics.

Download this listicle to explore the many applications of mass spectrometry including pharmaceutical analysis, omics, clinical diagnostics and microbiological testing.

In this listicle, we summarize the findings from the "Science Futures" project and highlight three areas in which industry and technology are impacting the next generation of scientists.