Invited Speakers
  • Rifaldy Fajar
    IMCDS-BioMed Research Foundation
    Indonesia
  • Researcher interested in the mathematical and computational modeling of complex biomedical systems, particularly in rheumatology and translational medicine. Focused on integrating bioinformatics, machine learning, artificial intelligence, deep learning, and reinforcement learning with clinical and multi-omics data for disease prediction, patient stratification, and precision medicine applications.
  • Date Time Room Session Title Lecture Title
    May 14 15:30-15:40 Room 3 (5F) Free Paper Session 4_Myositis and Metabolic Bone Diseases (KO-028) Bioinformatics-inferred Autoantibody-linked Tissue-specific Plasma Proteomic Endotypes in New-onset Juvenile Dermatomyositis Predict Persistent Disease Activity and Endothelial Vasculopathy Risk Using Longitudinal Pediatric Cohort