Q4 Savings on Clinically Characterized Samples — Reliable, Ready-to-Ship, and Designed to Support Your Research
Learn MoreThis study evaluates the GenXplore Q4800, a fully automated open-platform nucleic acid testing system designed for molecular diagnostics. Results demonstrate high sensitivity, reproducibility, and contamination control across multiple applications, including sexually transmitted infections and respiratory virus detection. Clinical validation showed 100% agreement with reference methods, confirming accurate pathogen detection. The system’s open-platform design enables flexible use of third-party reagents, providing a scalable and cost-effective solution for modern diagnostic laboratories.
Chen H, Wu J, Lin H, Chen Y, Cheng Y, Lu C, Fan K, Huang K, Wen C, Yu S, Lin Y, Huang Y, Chi R. 0.
January 21, 2026
This study presents CARMEN, a CRISPR-based multiplex diagnostic platform for rapid detection of febrile infections caused by bloodborne pathogens. The system enables simultaneous identification of up to 23 viruses and pathogens, including hemorrhagic fever, mosquito-borne, and sexually transmitted infections. Results demonstrate high sensitivity and specificity, matching or exceeding traditional RT-qPCR methods. By combining high-throughput testing with accurate pathogen detection, CARMEN offers a scalable solution for clinical diagnostics and global public health surveillance.
Kamariza, M., McMahon, K., Kim, L. et al.
December 9, 2025
This study explores serologic biomarker discovery for improved Lyme disease diagnosis using advanced antibody profiling and machine learning. By analyzing the humoral immune response, researchers identified novel biomarkers from Borrelia burgdorferi that can accurately differentiate Lyme disease from other conditions with similar symptoms. The approach demonstrated strong diagnostic performance, including the ability to detect cases missed by standard serological tests, highlighting its potential to improve early and accurate infectious disease diagnostics
Zhang T, Baert L, Woodbury NW and Kelbauskas L
May 15, 2025
This study explores how advanced molecular and clinical data can improve disease detection and patient outcomes in modern healthcare. Using large-scale clinical analysis, researchers identified key biological markers and risk factors associated with disease progression, highlighting opportunities for earlier diagnosis and more targeted treatment strategies. The findings support the growing role of precision medicine and biomarker-driven diagnostics in improving clinical decision-making and patient care.
Black, J. R. M., Barbosa, G., Abbott, C. W., Boyd, J. T., Karasaki, T., Chen, B., Ilié, M., Al Bakir, M., Lin, W. K., Navarro, F. C. P., Northcott, J., Jansen, S. H., Murch, C., Sivakumar, M., TRACERx Consortium, Shaw, J. A., Hackshaw, A., McGranahan, N., Jamal-Hanjani, M., Frankell, A. M., Chen, R. O., & Swanton, C. (2025).
January 13, 2025
This study investigates how preexisting immunity between dengue virus serotypes influences the antigenic evolution of dengue virus serotype 2 (DENV-2). Findings show that cross-reactive immune responses can drive viral mutations, enabling immune escape and impacting disease severity and transmission dynamics. The results highlight important implications for dengue vaccine development and long-term viral surveillance strategies.
Katzelnick, L. C., Narvaez, C., Arguello, S., Mercado, J. C., Collado, D., Ampie, O., Elizondo, D., Miranda, T., Bustos Carillo, F., Mercado, B. L., Gutierrez, G., Gordon, A., & Harris, E. (2021).
February 16, 2024
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