Luo Lab

Clinlabomics Research Laboratory

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 Research

Research Graphical Abstracts

Research Areas

Methodology-Driven Clinlabomics

Pioneering 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.

Details

Basic Science-Driven Platelet Research

Investigating 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.

Details

Clinical Problem-Driven Lung Cancer Research

Developing 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.

Details

Selected Publications

PlateletBase: A Comprehensive Knowledgebase for Platelet Research and Disease Insights

Luo H, Wu C, Yu S, et al.

Genomics Proteomics Bioinformatics, 2025

Characteristics and significance of peripheral blood T-cell receptor repertoire features in patients with indeterminate lung nodules

Luo H, Wu C, Wei X, et al.

Signal Transduction and Targeted Therapy, 2022

Serum laser Raman spectroscopy as a potential diagnostic tool to discriminate the benignancy or malignancy of pulmonary nodules

Luo H, Zu R, Li L, et al.

iScience, 2023

Clinlabomics: leveraging clinical laboratory data by data mining strategies

Wen X, Leng P, Wang J, Yang G, Zu R, Jia X, Zhang K, Mengesha BA, Huang J, Wang D, Luo H.

BMC Bioinformatics, 2022

Our Team

Dr. Huaichao Luo

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.

Graduate Students

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.

Collaborators

Research Partners

We collaborate with clinicians, bioinformaticians, and AI experts from various institutions to advance our research in multimodal cancer diagnostics.

News & Updates

May 15, 2023

PlateletBase: A Comprehensive Knowledgebase for Platelet Research and Disease Insights

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 PlateletBase
July 12, 2023

LungRaDoc: Serum Laser Raman Spectroscopy for Pulmonary Nodule Classification

Our 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 Publication
December 15, 2022

Characteristics and significance of peripheral blood T-cell receptor repertoire features in patients with indeterminate lung nodules

Our 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 Publication

Contact Us

Address

Laboratory Department, Sichuan Cancer Hospital

University of Electronic Science and Technology of China

Email

luohc@uestc.edu.cn

Join Our Lab

We welcome students and researchers interested in bioinformatics, clinical laboratory omics, and AI-driven cancer diagnostics to join our team