L. Raymond Guo, PhD, MA, MS

1. Guo, L. R., Tan, J., Hughes, M. C. (2025). Comparison of Dynamic Mode Decomposition with Other Data-driven Models for Lung Cancer Incidence Rate Prediction. Frontier in Public Health 13:1472398. doi: 10.3389/fpubh.2025.1472398

2. Liu, S., & Guo, L. R. (2024). Data ownership in the AI-powered integrative health care landscape. JMIR Med Inform, 12, e57754.

3. Guo, L. R., Hughes, M. C., Wright, M. E., Harris, A. H., & Osias, M. C. (2024). Geospatial hot spots and cold spots in US cancer disparities and associated risk factors, 2004–2008 to 2014–2018. Preventing Chronic Disease, 21, 240046.

4. Guo, L., Reddy, K. P., Van Iseghem, T., & Pierce, W. N. (2024). Enhancing data practices for Whole Health: Strategies for a transformative future. Learning health systems, 8(Suppl 1), e10426 https://doi.org/10.1002/lrh2.10426

5. Fang, D., Guo, L., Hughes, M. C., & Tan, J. (2023). Dynamic patterns and modeling of early COVID-19 transmission by Dynamic Mode Decomposition. Preventing Chronic Disease, 20, 230089

6. *Faghani, A., *Guo, L., Wright, M. E., Hughes, M. C., & Vaezi, M. (2022). Construction and case study of a novel lung cancer risk index. BMC Cancer, 22(1), 1275. (*co-first authorship)

7. Guo, L., Wright, M. E., Osias, M. C., Vaezi, M., & Hughes, M. C. (2022). Creation and Evaluation of the Illinois Cancer Risk Index as a Predictor of Four Common Cancers. Preventing Chronic Disease, 19.

8. Mills, K. A., Quinn, J. M., Roach, S. T., Palisoul, M., Nguyen, M., Noia, H., Guo, L., et al. (2019). p5RHH nanoparticle-mediated delivery of AXL siRNA inhibits metastasis of ovarian and uterine cancer cells in mouse xenografts. Scientific Reports, 9(1), 1.

9. Quinn, J. M., Greenwade, M. M., Palisoul, M. L., Opara, G., Massad, K., Guo, L., et al. (2019). Therapeutic Inhibition of the Receptor Tyrosine Kinase AXL Improves Sensitivity to Platinum and Taxane in Ovarian Cancer. Molecular Cancer Therapeutics, 18(2), 389–398.

10. Mills, K. A., Roach, S. T., Quinn, J. M., Guo, L., Beck, H. M., Lomonosova, E., et al. (2018). SQ1274, a novel microtubule inhibitor, inhibits ovarian and uterine cancer cell growth. Gynecologic Oncology, 151(2), 337–344.

Dr. L. Raymond Guo is an Assistant Professor in the Department of Pharmaceutical Systems and Policy. A transdisciplinary health scientist, Dr. Guo operates at the intersection of Artificial Intelligence, Health Outcomes, and Health Policy. His research agenda is anchored in the concept of "Health Data Impact"—leveraging advanced analytics, including machine learning and geospatial intelligence, to translate high-dimensional health data into strategies that enhance the quality, safety, and equity of care.

Dr. Guo focuses on developing intelligent health systems that can predict patient trajectories and optimize clinical decision-making. His research portfolio examines the implementation of digital health technologies, the evaluation of health policies using real-world evidence, and the ethical deployment of AI in diverse healthcare settings. By bridging the gap between big data and clinical application, Dr. Guo aims to address complex challenges in healthcare delivery and access.