Expert in Product Development & Medical Consultation
Professor Yu-Chuan Li, the Alliance Principal Investigator, brings extensive experience in medical technology R&D and entrepreneurship. He is dedicated to providing specialized R&D consulting and technical support for enterprises and healthcare institutions, helping startups achieve technological breakthroughs and accelerate product commercialization.
Collaborating with Global Medical Experts to Create New Clinical Value
Is your biomedical startup struggling to implement clinical applications? Are you unfamiliar with global technological trends, making it difficult to strategically position your product in the market? Through consultation with Professor Yu-Chuan Li, you will gain access to the latest advancements in international medical AI and uncover key success factors for startups. With his deep clinical expertise and global vision, Professor Li not only helps businesses overcome technological challenges but also defines precise clinical application value, enabling you to gain a competitive edge in the global market and achieve breakthrough commercial success.
A Leading Global Medical Expert Driving Smart Healthcare Innovation & Business Growth
Recognized among the Top 2% of Scientists Worldwide, Professor Li is highly esteemed in both academic and industry circles. His expertise spans AI-driven medical applications and smart healthcare development. Frequently featured in media interviews and actively participating in academic and industry events, he shares forward-thinking insights into the future of smart healthcare, helping businesses navigate technological trends and drive industry transformation and innovation.
Pioneering Advanced Technology & Clinical Expertise to Elevate Medical Product Innovation
A Leader in AI & Medical Informatics
As a pioneer in AI applications for healthcare, Professor Yu-Chuan Li has made significant contributions, particularly in translational medical informatics. He has led multiple national-level projects, focusing on patient safety, medical AI, and predictive healthcare research. His work aims to enhance disease prevention, medical quality, and patient safety through AI-driven advancements. One of his most notable achievements is the development of the Temporal Phenotyping Randomized Model, which remains the largest study of its kind. This model integrates various medical data elements, including medications, diagnoses, lab results, and procedures, marking a major milestone in the field of medical informatics.
Bridging Academic Research, Clinical Practice, and Entrepreneurship
With a strong academic foundation and extensive clinical experience, Professor Li currently serves as a Distinguished Professor at Taipei Medical University and a practicing dermatologist at Taipei Municipal Wanfang Hospital. His research is deeply connected to clinical applications, ensuring that emerging technologies can be rapidly translated into real-world healthcare settings. As the Editor-in-Chief of BMJ Health & Care Informatics, he actively promotes research and knowledge dissemination in the field of medical informatics, ensuring that cutting-edge innovations benefit the broader healthcare community.
Global Influence & International Collaboration
Professor Li has established deep collaborations across Asia, the U.S., Europe, and Africa, actively engaging in global academic exchanges that have shaped the future of medical informatics. During his tenure as President of the International Medical Informatics Association (IMIA), he spearheaded initiatives to standardize and enhance global medical information systems, improving data sharing and interoperability worldwide. His cross-border collaborations have accelerated the integration of AI and medicine, playing a crucial role in advancing global smart healthcare adoption.
Research Tags & Areas of Expertise
“I have collaborated with Jack for many years, and he has an exceptional ability to translate extensive clinical experience into precise and practical professional guidance. He seamlessly integrates global medical technology trends and forward-thinking insights into strategic planning. Under his mentorship, we were able to accurately define the clinical application value of our product and successfully enter the global market—a key factor in our success. ”
An-Jim Long. CEO of AESOP
Medical Product Development & Consulting Services
AI Technology Trends
Engaging with startups and medical device manufacturers, we provide insights into the latest global AI advancements and emerging trends, helping companies grasp critical applications and enhance product competitiveness in the market.
Business & Market Strategy
Leveraging years of experience in smart medical device market insights, R&D, and entrepreneurship, we provide key strategies for product development, market expansion, and corporate growth transformation for biotech and healthcare enterprises.
Clinical Applications
We share practical experiences on how AI and new technologies are implemented in clinical settings, analyzing feasibility and adoption strategies from the perspective of key stakeholders across the healthcare value chain.
Expanding into Global Markets
With in-depth expertise in the U.S. and international healthcare markets, we specialize in cross-sector collaboration between technology and healthcare. We provide market entry strategies to help businesses expand their global footprint.
“Early Perception Medicine”
The Fusion of AI & Preventive Medicine,
Helping Startups Gain a Competitive Edge
Professor Yu-Chuan Li introduced the concept of “Early Perception Medicine,” which leverages artificial intelligence to predict health risks in real time and enable personalized early interventions before symptoms appear. This groundbreaking approach provides an innovative solution for preventive healthcare. By utilizing big data analytics, his team not only identifies high-risk populations but also pinpoints potential health issues in patients, allowing clinicians to intervene earlier in disease prevention and management. The clinical applications of this concept have been internationally recognized, particularly in the fields of personalized medicine and preventive healthcare. By integrating AI with medical technology, businesses can optimize their products more effectively and strategically position themselves in the global market.
Medical Trends & Academic Journal Publications
