UAAT International Young Visiting Scholar Program
Dr. Yen-Sheng Lin
Current Position/Title: Assistant Professor
Institutional Affiliation : Department of Orthopedic Surgery, University of Texas Southwestern Medical Center
Email: yen-sheng.lin@utsouthwestern.edu
Host Scholar: Prof. Meng-Huang Wu, M.D., Ph.D., (吳孟晃 醫師, 博士), Chairman
Hosting Department/Institution: Department of Orthopedics & College of Biomedical Engineering, Taipei Medical University
Biography:
Dr. Yen-Sheng Lin received his BS degree in Mechanical Engineering at National Cheng Kung University, MS degree in Biomedical Engineering at National Taiwan University, and doctoral degree in Rehabilitation Science at the University of Pittsburgh. He completed the postdoctoral fellowship training at Northwestern University and Shirley Ryan Ability Lab (formerly known as Rehabilitation Institute of Chicago). He is currently an assistant professor at Dept. of Orthopaedic Surgery and Physical Medicine and Rehabilitation at UT Southwestern Medical Center. Dr. Lin’s research interest includes the clinical and translational approaches to identify the Speaker’s ph oto here (optional) 2 | 3 risk factors of secondary complications in individuals with neurophysiological disorder such as spinal cord injury and musculoskeletal injuries such as rotator cuff tears. One of his lab recent projects is developing the radiomic-based diagnostic tools for early detection of the heterotopic ossification and deterioration of skeletal muscle and tendon quality. His lab is also expanding to translational approaches for better understanding of the skeletal muscle physiology in the context of metabolic dysfunction following aging-related myosteatosis or sarcopenia.
Lecture [1/2]:
Time: (1) 7:30am, July 2 nd (Wed)
(2) 10:00am, July 4th , 2025 (Fri)
Venue: (1) 臺北醫學大學附設醫院第三醫療大樓 9A 會議室
(2) 臺北醫學 大學雙和校區 生醫大樓五樓 生醫設計創新實作空間
Title: Emerging Multimodal Diagnostic and Prognostic Research Strategies following Neuromusculoskeletal Injuries
Abstract:
Neuromusculoskeletal injuries present complex diagnostic and prognostic challenges requiring innovative assessment approaches that extend beyond traditional clinical evaluation. This presentation explores cuttingedge multimodal research strategies that integrate advanced medical imaging, biomechanical analysis, biomarker profiling, and machine learning algorithms to enhance diagnostic accuracy and prognostic prediction following various neuromusculoskeletal conditions. Dr. Lin will demonstrate how combining quantitative imaging techniques, motion analysis, electrophysiological assessments, and molecular biomarkers creates comprehensive diagnostic profiles that identify subclinical changes and predict functional outcomes. The presentation highlights novel applications of computer aided algorithm for early detection of secondary complications, risk stratification models for personalized rehabilitation planning, and longitudinal monitoring strategies for tracking rehabilitative trajectories. These emerging methodologies offer unprecedented opportunities to develop precision medicine approaches, optimize treatment timing, and improve long-term outcomes by enabling clinicians 3 | 3 to intervene before irreversible complications occur in individuals with neuromusculoskeletal injuries.
Lecture [3]:
Time: 4:05pm, July 19th, 2025 (Sat)
Venue: 臺北醫學大學雙和院區 教學研究大樓 8 樓會議中心
Title: Proactive Multidisciplinary Management and Preventative Strategies of Secondary Complications following Spinal Cord Injury
Abstract:
Spinal cord injury (SCI) presents multifactorial, interconnected secondary complications that require comprehensive, proactive management rather than costly reactive treatment approaches. This presentation outlines evidence-based multidisciplinary strategies for preventing and managing common SCI-related complications including musculoskeletal disorders, metabolic complications, and pressure injuries. Drawing from biomechanical analysis and medical imaging technologies, Dr. Lin will present risk stratification assessments that identify precursors to secondary complications before they manifest clinically. The presentation emphasizes collaborative care models integrating engineer, physiatry, physical therapy, occupational therapy, dietician, and psychology to optimize long-term outcomes. Key preventative interventions include early mobilization protocols, adaptive equipment optimization, metabolic monitoring, skin integrity maintenance, and community reintegration planning. This proactive framework aims to reduce healthcare costs, improve quality of life, and minimize disability progression in individuals with SCI through systematic, evidence-based prevention strategies implemented across the continuum of care.