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 ...
Our laboratory specializes in the development and application of direct mass spectrometry technologies for tissue analysis and disease detection. Our research focuses on identifying metabolic markers ...
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Machine Learning in Small-Molecule Mass Spectrometry
In a recent review article published in the journal Annual Review of Analytical Chemistry, researchers highlighted the transformative role of machine learning (ML) in advancing mass spectrometry (MS) ...
Ultra-trace detection mandates, PFAS surveillance, and next-generation MS platforms accelerate a 7.3% CAGR from 2025 to 2031Delray Beach, FL, Jan. 23, 2026 (GLOBE NEWSWIRE) -- The environmental mass ...
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 ...
Accurately distinguishing renal cell carcinoma (RCC) from normal kidney tissue is critical for identifying positive surgical margins (PSMs) during partial and radical nephrectomy, which remains the ...
How does Membrane Inlet Mass Spectrometry Work? Membrane Inlet Mass Spectrometry (MIMS) relies on the principles of mass spectrometry and the selective permeability of membranes that allow the passage ...
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 ...
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 ...
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