Pioneering AI-driven multimodal approaches for precision medicine through innovative clinical laboratory omics, platelet biology research, and advanced computational methods for early cancer diagnosis and monitoring. Our lab has published over 30 papers in high-impact journals including STTT, Genomics Proteomics & Bioinformatics, and iScience. We hold 2 patents and have led multiple national research projects, with recognition including the Sichuan Medical Association Youth Medical Science Award.
Explore Our ResearchPioneering the innovative concept of "Clinical Laboratory Omics" (Clinlabomics) that combines clinical laboratory medicine with artificial intelligence. We develop novel methodologies to extract and analyze features from blood, body fluids, secretions, and excretions, creating new diagnostic paradigms through data mining strategies.
DetailsInvestigating fundamental mechanisms of platelets in disease processes, with focus on platelet high-order features (HOFs), tumor-educated platelets (TEPs), and platelet typing. Our PlateletBase knowledge repository serves as a comprehensive resource for platelet research and disease insights.
DetailsDeveloping interdisciplinary approaches for lung cancer prevention, diagnosis, and treatment. Our work includes AI-driven multimodal diagnostic tools (TCRnodseek, LungRadoc, SCHC models) for early detection and classification of lung nodules, as well as mechanistic studies of lung cancer pathogenesis.
DetailsGenomics Proteomics Bioinformatics, 2025
Signal Transduction and Targeted Therapy, 2022
iScience, 2023
Principal Investigator | Associate Chief Technician
MD/Ph.D. in Bioinformatics, Associate Chief Technician at Sichuan Cancer Hospital and Master's Supervisor. Founder of the "Clinical Laboratory Omics (Clinlabomics)" concept and the PlateletBase multi-omics database.
Ph.D. and Master's Students
Our lab includes talented graduate students working on various aspects of Clinlabomics, bioinformatics, and AI-driven diagnostics for cancer research.
Research Partners
We collaborate with clinicians, bioinformaticians, and AI experts from various institutions to advance our research in multimodal cancer diagnostics.
Our research team has developed PlateletBase, a comprehensive knowledgebase for platelet research. This database integrates multi-omics data and provides valuable insights for understanding platelet biology and disease mechanisms.
Visit PlateletBaseOur team has developed LungRaDoc, a novel approach using serum laser Raman spectroscopy as a potential diagnostic tool to discriminate between benign and malignant pulmonary nodules, published in iScience.
Read PublicationOur research on TCR-based lung nodule classification has been published, demonstrating the potential of immune repertoire analysis for early diagnosis of lung cancer from patients with pulmonary nodules.
Read PublicationLaboratory Department, Sichuan Cancer Hospital
University of Electronic Science and Technology of China
luohc@uestc.edu.cn
We welcome students and researchers interested in bioinformatics, clinical laboratory omics, and AI-driven cancer diagnostics to join our team