- About CME 2025 -
Instituted of Complex Medical Engineering
ICME is a non-profit society (organization). The purpose of the society shall be to promote the scientific research and industrial development in the field of complex medical engineering. To this end, ICME shall bring together researchers from diverse fields of neuroscience and biomedical engineering. ICME is expected to stimulate the future research and development of new theory, new approach, and new tools, to grow the new field of Complex Medical Engineering. （ICME Website: https://www.isicme.jp/）
The 19th International Conference on Complex Medical Engineering (CME2025), sponsored by Lanzhou University, will be held in Lanzhou, China, from August 1 to 3, 2025.This conference aims to integrate expertise from computer science, information technology, neurobiological engineering, and psychology to enhance our understanding of complex medical issues and accelerate the translation of research breakthroughs into practical healthcare solutions.
The human nervous system is extraordinarily complex, and effectively addressing this complexity requires combining neuroscience and biomedical science with emerging computational technologies such as artificial intelligence, data mining, and machine learning. High-performance computing offers exciting new possibilities for discovering hidden patterns in vast datasets, modeling the intricate workings of the human brain, and swiftly turning theoretical insights into clinical interventions. This multidisciplinary synergy paves the way for groundbreaking innovations and transformative solutions to the complex challenges facing modern medicine.
CME 2025 will serve as a unique platform for an international community of researchers, clinicians, and industry experts to share their latest discoveries. Topics may range from advanced brain imaging techniques and AI-guided diagnostic tools, to novel computational models for simulating neural processes and big data approaches for analyzing behavior. By promoting the synthesis of computational and data-centric methods with fundamental neuroscience and psychological research, the conference aims to foster multidisciplinary collaborations that can lead to breakthroughs in disease prevention, personalized treatment, and holistic patient care.
In addition to high-level keynote speeches, plenary sessions, and panel discussions, the conference will also feature workshops and demonstrations that showcase new instruments, software solutions, and emerging concepts. The event is designed not only to highlight cutting-edge science but also to nurture young researchers, facilitate networking opportunities, and strengthen global partnerships in the rapidly evolving field of complex medical engineering.
We warmly welcome you to join us in Lanzhou for CME 2025. Your participation and insights will help expand the boundaries of medical technology and improve healthcare outcomes worldwide. We look forward to seeing you in Lanzhou and hope you will have a productive and memorable conference experience.
Full Paper Submission Date May 18,2025 | Registration Deadline June 17, 2025 | Final Paper Submission Date July 2, 2025 | Conference Dates August 1-3, 2025 |
- Call For Papers -
Topics of interest include but are not limited to:
• Cognitive Neuroscience and Technology • Neuropsychiatry and Clinical Neurosciences • Brain Machine Interface & Brain Computer Interface • Sustainable Materials and Techniques in Medicine • Ncurophysiological measurements • Technology in Rehabilitation-Complex Bioinformatics and Systems Biology • Biosensors and Bio-analytics • Information and Communication Technology in Medicine | • Biomedical Image and Signal Processing; Biomedical Optics • Agent-Based Modeling of Medical and Social Systems • Computational Social Neuroscience • Social Behavioral Modeling in Neuropsychiatric Disorders • AI and Big Data Analytics for Public Health and Social Well-being • Wearable and IoT-Based Social Sensing in Healthcare • Cyber–Physical–Social Systems for Personalized Medicine • Emotion Recognition and Affective Computing in Social Contexts • Complex Network Analysis of Neurophysiological and Social Data |
- Keynote Speaker -
| Professor Jesse Hoey University of Waterloo, Canada Dr. Jesse Hoey is a professor in the David R. Cheriton School of Computer Science at the University of Waterloo, where he leads the Computational Health Informatics Laboratory (CHIL). He is a Faculty Affiliate at the Vector Institute in Toronto. Dr. Hoey holds a Ph.D degree (2004) in computer science from the University of British Columbia. He has published over one hundred peer reviewed scientific papers. His primary research interest is to understand the nature of human emotional intelligence by attempting to build computational models of some of its core functions, and to apply them in domains with social and economic impact. He is Editor-in-Chief of the IEEE Transactions on Affective Computing and an Area Chair for the International Joint Conferences on Artificial Intelligence (IJCAI 2021). |
- Keynote Speaker -
| Professor Riki Matsumoto Kyoto University, Japan Since 2018, Riki Matsumoto has been a professor at the Department of Neurology, Graduate School of Medicine, Kobe University. As the last bastion in Hyogo Prefecture, we provide comprehensive medical services ranging from common conditions like stroke, dementia, and epilepsy to stubborn neurological disorders. Serving as the director of both the Epilepsy Center and the Dementia Center, we have built an interdisciplinary healthcare system. In terms of research, besides joint studies with Japan and France in specialized systems brain physiology, I also have opportunities for interdisciplinary research both within and outside the university, as well as collaborative research and development of ultra-compact EEG devices with industry, academia, and government. Focusing on immune system and synaptic transformation (neuronal hyperexcitability) in the early stages of dementia, we are conducting pre-disease pathological marker and therapeutic intervention studies by integrating molecular genetics, immunology, pathology, physiology, and mathematics from cell culture and animal models to pre-disease cohorts. |
- Sponsor -
- Supporter -
