About CDBTM

The Center for Dynamical Biomarkers and Translational Medicine (CDBTM) was established in 2011 through a grant from the National Science Council of Taiwan under its I-RiCE program (International Research-intensive Centers of Excellence in Taiwan). Co-directors Professor Norden Huang (National Central Univeristy) and Professor Chung-Kang Peng (Harvard Medical School/ Beth Israel Deaconess Medical Center) join Affiliated Members from Taiwan (National Central University, National Taiwan University Hospital, Taipei Veterans General Hospital, National Yang-Ming University, Yuan Ze University) and the United States (Harvard University, Massachusetts Institute of Technology, Boston University, University of Massachusetts) in establishing a multidisciplinary team of clinicians, medical researchers, physicists, applied mathematicians, computer scientists and engineers, to achieve the following goals:


Mission Statement

  • To develop new mathematical analysis tools tailored to assess certain challenging yet ubiquitous dynamical properties of physiologic variables
  • To develop a degree program that can train and foster young researchers with great potential in the new field of dynamical biomarkers for transitional medicine
  • To develop computational toolboxs for various applications that cover a wide range of biomedical images and signals
  • To develop multiple high quality, open access databases that can be used for the development and validation of new mathematical tools
  • To help the biomedical instrument and equipment industry in Taiwan validate products for the worldwide market

 

Research Focus 

  • Building mathematical models of multi-scale structure properties in biomedical signals
  • Cerebral autoregulation dynamics in stroke patients
  • Probing the underlying characteristics of biological rhythms in multimodality approaches
  • Investigating the mechanisms of sleep homeostasis
  • Innovative medical imaging processing and analysis tools
  • Identifying dynamical biomarkers to predict the success of the atrial fibrillation ablation pocedure 
  • Large-scale population study of  long-term blood pressure monitoring
  • Dynamical biomarker analysis of cardiovascular diseases
  • Developing a fall-risk evaluation and balance stability enhancement system by measuring noninvasive physiological signals