Biaoru Li | Personalized Medicine | Oncolog Oncopharm Research Achievement

Dr. Biaoru Li | Personalized Medicine | Oncolog Oncopharm Research Achievement

Medical College of GA | United States

Dr. Biaoru Li is an accomplished leader in the fields of precision medicine, genomics, and personalized immunotherapy, with extensive experience spanning clinical hematology, oncology, and advanced molecular research. His expertise bridges the continuum from bio-specimen preparation to clinical application, integrating cutting-edge biobanking, primary cell sorting, single-cell identification, and functional genomics. Dr. Li’s research delves deeply into the cellular and molecular mechanisms that drive disease, with a particular focus on CD34 cells, erythroid cells, T-cells, and primary tumor cells. His work emphasizes the transformation of primary bio-specimens into powerful genomic insights through advanced technologies such as next-generation sequencing (NGS) and microarray analysis.A pioneer in precision medicine, Dr. Li has made substantial contributions to the development of personalized immunotherapy strategies and the integration of artificial intelligence into biomedical research. His ongoing projects include the design of AI-driven models that enhance diagnostic accuracy and therapeutic prediction for cancer and immune-related disorders. Dr. Li’s innovative research on single-cell RNA sequencing has opened new pathways for individualized treatment, offering a molecular-level understanding of disease heterogeneity.As an academic and clinical researcher, Dr. Li has established collaborations with hospitals and research institutions across the United States and Asia, promoting global scientific exchange and clinical translation. His scholarly impact is reflected in his numerous publications indexed in prestigious scientific databases such as SCI and Scopus, as well as his extensive citation record on Google Scholar and ORCID. Dr. Li’s editorial influence extends across 17 international editorial boards, where he contributes to advancing scientific standards in molecular medicine and clinical genomics.In addition to his academic achievements, Dr. Li has authored influential books, including Personalized Immunotherapy for Tumor Disease and Beyond and Personalized Therapy for PAH and Beyond, both of which underscore his leadership in developing targeted therapeutic frameworks. His membership in renowned professional societies, including the American Society of Hematology and the Royal Society of Medicine, underscores his commitment to advancing medical science and mentoring future researchers.

Profile: Orcid

Featured Publications

Li, S., & Li, B. (2025). Precision medicine related to landscape and architecture of tumor specimen. Japan Journal of Research.

Song, P., & Li, B. (2025). New generation of clinical epigenetics analysis and diagnosis for precision medicine. Diagnostics.

Palani, C. D., Smith, A., Cao, X., Li, B., Pace, B. S., & Starlard‐Davenport, A. (2025). Cholesterol‐conjugated miR‐29b induces fetal haemoglobin expression via γ‐globin promoter demethylation in the Townes mouse model for sickle cell anaemia. British Journal of Haematology.

Yang, Y., Chen, S., Li, W., Duan, J. C., Yuan, Y., Xie, V. S., & Li, B. (2024). STAT3 down-regulation for IL-2 inducing TIL-A clinical clue for spatial quantitative pathway analysis. AIMS Allergy and Immunology.

Li, B. (2024). Surgery and specimen biobanks—Tumor tissues and precision medicine. Journal of Surgery.

Li, B. (2024). Prediction, prevention, prognostic and personalized therapy of ovarian cancer—Biomarkers and precision medicine. Biomedical Journal of Scientific and Technical Research.

Yang, Y., Li, W., Chen, S., Yuan, Y., & Li, B. (2023). Spatial-timely quantitative network analysis for TGF-β pathway of tumor infiltrating lymphocytes. Journal of Cancer Science and Clinical Therapeutics.

Zhu, X., & Li, B. (Eds.). (2023). Epigenetics in cancer: Mechanisms and drug development – Volume II. Frontiers Research Topics.

Li, B. (2023). Personalized immunotherapy of patients: Defining by single-cell RNA-seq with artificial intelligence. Medical Research Archives.