From Sample to Insight: Technologies Driving the Future of Precision Oncology Assays
The future of oncology diagnostics is already unfolding—now the challenge is to scale it responsibly and ensure it reaches every patient who needs it. As cancer diagnostics evolve toward greater decentralization, multi-modal testing, and ambient-stable formats, the technologies behind the assay matter more than ever. Meridian supports this transformation with References 1. World Health Organization. (2025, February 3). Cancer [Fact sheet]. WHO. https://www.who.int/news-room/ fact-sheets/detail/cancer 2. Hanahan, D. (2022). Hallmarks of Cancer: New Dimensions. Cancer Discovery, 12 (1), 31-46. https://doi. org/10.1158/2159-8290.CD-21-1059 3. Mao, Y., et al. (2025). Emerging artificial intelligence-driven precision therapies in tumor drug resistance: Recent advances, opportunities, and challenges. Molecular Cancer, 24 , 123. https://doi.org/10.1186/s12943-025-02321-x 4. World Economic Forum. (2022, February). Technology can revolutionize cancer care: 6 experts explain how [Web article]. https://www.weforum.org/stories/2022/02/ cancer-care-future-technology-experts/ 5. Wolikow, N. (2025, January 15). The future of oncology: How TechBio is revolutionizing cancer treatment and beyond . EUStartups. https://www.eu-startups.com/2025/01/ the-future-of-oncology-how-techbio-is-revolutionizing- cancer-treatment-and-beyond/
next-generation reagent systems—optimized for inhibitor tolerance, lyophilization, and rapid detection across PCR, isothermal, and emerging CRISPR-based platforms. By helping assay developers reduce complexity, improve robustness, and expand access, Meridian is enabling the next wave of precision oncology tools to scale globally and reach the patients who need them most. n 6. Google Health. (n.d.). Advancing breast cancer detection with AI . Retrieved June 20, 2025, from https://health. google/caregivers/mammography/ ai.google+8health. google+8health.google+8 7. Zhang, Y.-P., et al. (2023). Artificial intelligence-driven radiomics study in cancer: The role of feature engineering and modeling. Military Medical Research, 10 , 22. https://doi. org/10.1186/s40779-023-00458-8 8. National Cancer Institute. (n.d.). Artificial intelligence (AI) and cancer [Web page]. National Institutes of Health. Retrieved June 20, 2025, from https://www.cancer.gov/research/ infrastructure/artificial-intelligence 9. Ginghina, O., et al. (2022). Liquid biopsy and artificial intel- ligence as tools to detect signatures of colorectal malig- nancies: A modern approach in patient’s stratification. Frontiers in Oncology, 12 , 856575. https://doi.org/10.3389/ fonc.2022.856575
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