Guest Editors
Ruqiong Wei
Department of Rehabilitation Medicine, The First Affiliated Hospital of Guangxi Medical University
Dr. Ruqiong Wei is currently a chief physician at The First Affiliated Hospital of Guangxi Medical University in China. She completed her undergraduate medical studies in Cuba before earning her Master's and PhD degrees in Medicine and Health Sciences from the University of Almería in Spain. Dr. Wei's research interests lie at the intersection of orthopedics, oncology, and advanced translational technologies, with a particular focus on tumor immunotherapy and biomaterials. Specifically, her work explores the application of artificial intelligence, deep learning, and multi-omics in the diagnosis and targeted treatment of bone tumors and osteoarthritis. She has published extensively in high-impact journals on topics ranging from engineered exosomes and nanomaterials for gene therapy to the molecular mechanisms of cancer and cartilage repair.
Raquel Alarcón Rodríguez
University of Almeria
Dr. Raquel Alarcón Rodríguez received her pharmacy degree and PhD from the University of Granada. She is currently a tenured associate professor at the Faculty of Health Sciences at the University of Almería, where she also serves as coordinator of the Official Master’s Degree in Research in Medicine and Health Sciences.Her research focuses on toxicology, epidemiology, and public health, with particular emphasis on biomarkers and the effects of environmental pesticide exposure. She investigates the associations between these exposures and health outcomes, including cancer, neurodegenerative diseases, and reproductive disorders.She is a long-standing member of the Andalusian Research Plan CTS-411: Pesticides, Health and the Environment research group and is actively involved in occupational health and risk prevention.
Mingyang Jiang
Department of Orthiopaedic Surgery, National University of Singapore
Mingyang Jiang is currently a PhD candidate in the Department of Orthopaedic Surgery at the National University of Singapore. He holds a Master of Medicine in Bone and Joint Surgery from Guangxi Medical University and brings practical clinical experience from his time as a resident. His primary research interests lie at the intersection of orthopedic oncology, artificial intelligence, and multi-omics. Specifically, his work focuses on AI-driven drug design, deep learning for medical image analysis, and the application of nanomaterials and exosomes in targeted therapies for osteosarcoma. Demonstrating a strong academic record with an h-index of 12, he has published in high-impact journals such as Molecular Cancer and Information Fusions. Additionally, he serves as a Youth Editorial Member for Cell Proliferation and a Youth Commissioner for the Guangxi Bioinformatics Society.
Collection Overview
Traditional research methods, such as bulk sequencing and empirical treatment models, are increasingly insufficient to address profound clinical bottlenecks like disease heterogeneity, spatial complexity, and therapy resistance. These conventional approaches often fail to capture the intricate molecular microenvironments and dynamic resistance networks driving disease progression. To overcome these limitations, integrating artificial intelligence (AI) with advanced multi-omics technologies, including single-cell and spatial omics, offers a transformative advantage. While multi-omics provides unprecedented resolution into complex cellular interactions, AI-driven analytics are essential to decode these massive, high-dimensional datasets to uncover hidden mechanisms and novel druggable targets. This integration is critically important because it shifts the paradigm from generalized empirical treatments to mechanism-driven precision diagnosis and targeted therapeutics.
This collection aims to catalyze breakthroughs in molecular medicine by bridging the gap between complex computational predictions and reproducible experimental validation. By highlighting visualized protocols for multi-modal data fusion and AI-driven biomarker discovery, the collection helps researchers overcome the opaque nature of advanced bioinformatics pipelines. Ultimately, we seek to equip the scientific community with standardized, actionable methodologies to accelerate the translation of multi-omics insights into innovative diagnostic models and personalized clinical strategies.
Articles
Abstracts
Artificial Intelligence-Assisted Image Analysis of Mouse Skeletal Muscle Histology for Myofiber Morphometry and Aging-Associated Phenotyping
Soochi Kim*1
1Korea University
The EPHA4–ATF6 Axis Drives Cartilage Degeneration by Impairing Chondrocyte Autophagy in Osteoarthritis
Yongwen Li*1
1Liuzhou People's Hospital
The association between C-reactive protein-triglyceride-glucose index and osteoarthritis: A mediation analysis of obesity indicators
Bo Yu1,
Zhaolan Wei*1,
Yue Qiu1,
Tianyu Ren1
1Liuzhou People's Hospital
SGK1 and FOS as Senescence-Associated Biomarkers and Therapeutic Targets in Osteoarthritis
Ruiying Wang*1
1Department of Orthopaedic Trauma and Extremities, The First Affiliated Hospital of Guilin University
Machine Learning-Guided Single-Cell Analysis Reveals Myeloid Mechanoresistance States in Primary, Recurrent, and Pulmonary Metastatic Osteosarcoma
Sichang Wu1,
Chaohui Fan1,
Yuting Du2,
Hengsheng Lin3,
Hailin Chen4,
Xinli Gan5,
Ke Zhang*3,
Rubiao Qiu*1
1Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China,
2Guangxi Medical University, Nanning, China,
3Department of Bone and Joint Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China,
4School of Basic Medical Sciences,Guangxi Medical University,Nanning,China,
5Department of Respiratory Medicine, The Fifth Affiliated Hospital of Guangxi Medical University and The First People's Hospital of Nanning , Nanning , China
Effectiveness of various doses of cyclophosphamide and cisplatin on the ovarian reserve of a mice model
Yaqiong Xiang1
1Chengdu Medical College,
Tissue-Validated Bulk and Single-Cell Transcriptomics Nominate MMP1 as a Candidate for Fibroblast-Centered Matrix Remodeling in Diabetic Foot Ulcer
yuefeng kong*1
1Wuhan Fourth Hospital
Data-Driven Identification of Serum Uric Acid Thresholds for Inflammatory Stratification in Osteoarthritis
Qingfa Qin*1
1Department of Orthopedics, Guilin People’s Hospital, Guilin, Guangxi, China
Ferroptosis- and Senescence-Associated Epithelial and Myeloid States in Diabetic Foot Ulcers
Chenghe Qin*1
1Division of Orthopaedics and Traumatology, Department of Orthopaedics, Guangzhou, China.
Integrated multi-tissue analysis identifies pyroptosis-related cross-tissue biomarkers in osteoarthritis
Bo Zhang*1
1The Third Affiliated Hospital of Guangxi Medical University