Comprehensive residue-level mapping of amyloid-beta recognition reveals how sequence variants, post-translational modifications, and aggregation state shape antibody specificity, thereby guiding ...

This proteomics-driven approach to drug discovery improves target validation and uncovers insights into undruggable proteins, ...

Nine-Point-Seven Percent CAGR Reflects Fundamental Industry Shift Toward Advanced LC-MS/MS and High-Resolution Platforms ...

Osteoarthritis often goes undetected until cartilage damage is advanced, limiting treatment options. A new study shows that ...

A novel blood based surveillance test using artificial intelligence and next-generation sequencing identified relapse a median of 41 days before clinical detection in patients with AML or MDS ...

Researchers from the University of Tartu Institute of Physics have developed a novel method for enhancing the quality of three-dimensional images by increasing the depth of focus in holograms fivefold ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

Researchers have significantly enhanced an artificial intelligence tool used to rapidly detect bacterial contamination in food by eliminating misclassifications of food debris that looks like bacteria ...

Efficient diagnosis and precision therapy remain core challenges in biomedical science, particularly for complex and chronic diseases such as cancer, skin ...

Over the last few years, liquid biopsy has proven to be a revolutionary tool in oncology, providing a minimally invasive ...

Researchers have developed a near-single-cell resolution spatial transcriptomic approach to study developmentally regulated RNA processes.