In a recent study posted to the Preprints with The Lancet SSRN* server, a team of researchers in China developed a machine learning-based diagnostic tool to detect tuberculosis and drug-resistant ...

The conversion of large-scale, complex mass spectrometry data into meaningful structural insights through ChemEcho, a machine learning embedding method, published in August by investigators at ...

Explore technical features and comparative strengths of MaxQuant, Proteome Discoverer, FragPipe, and DIA-NN workflows.

Discover how proteomics data analysis and bioinformatics tools enhance mass spectrometry workflows for robust findings.

Mass spectrometry (MS) has long been a cornerstone of chemical and biological analysis, but in biotech and biomanufacturing, it is now experiencing a renaissance. As drug modalities diversify—peptides ...

Mass spectrometry is the new genomics, and Tucson is the place to be for the emerging market. At least that’s what Nina Ossanna, vice president and co-founder of Pharos Diagnostics, thinks. Ossanna is ...

Chicago, Jan. 27, 2026 (GLOBE NEWSWIRE) -- The global mass spectrometry market was valued at 6.42 billion in 2024 and is expected to reach US$ 12.06 billion by 2033, growing at a CAGR of 7.85% from ...

Performance of a Cell-Free DNA-Based Multi-cancer Detection Test in Individuals Presenting With Symptoms Suspicious for Cancers Accurately distinguishing renal cell carcinoma (RCC) from normal kidney ...

Material engineering involves the creation and design of inventive materials, blending principles from chemistry, physics, and engineering. Mass spectrometry emerges as a vital tool in material ...

Photoionization mass spectrometry has transformed analytical chemistry, enabling complex chemical analysis and celebrating a century of scientific progress.