Introduction
The rapid development of biomedical and healthcare information technology is transforming clinical care, personalized medicine, and medical research. At the forefront of this transformation is intelligent medicine, a field characterized by the convergence of artificial intelligence, wearable devices and remote monitoring, the Internet of Things (IoT), 5G and telemedicine, big data analytics, and health informatics. This represents a deep integration of high-precision technologies with healthcare.
The cross-fusion of these technologies is driving the evolution of medical services toward greater intelligence, precision, and efficiency. However, it also raises serious concerns regarding the privacy, security, and governance of sensitive health and genomic data. For instance:
- Artificial intelligence in smart healthcare requires the processing of large volumes of sensitive health data, introducing risks such as model leakage, data misuse, and adversarial attacks—especially during centralized storage and training, which are vulnerable to theft and reverse inference.
- Wearable devices and remote monitoring continuously collect users’ physiological data, making them susceptible to threats such as data transmission breaches, device tampering, and identity spoofing.
- IoT systems connect numerous sensors and medical devices, which can be exposed to unauthorized access, data exfiltration, and remote control attacks, potentially compromising patient privacy and device integrity.
- Big data analytics and health informatics involve managing massive, distributed datasets across institutions and platforms, heightening the risk of centralized data breaches and re-identification through data correlation.
This seminar aspires to serve as an interdisciplinary platform focused on intelligent medicine and privacy protection. Key areas of discussion will include the integration of privacy-enhancing technologies—such as federated learning, homomorphic encryption, differential privacy, zero-knowledge proofs, and secure multi-party computation—with intelligent medical applications. Topics will span artificial intelligence, wearable and remote monitoring systems, IoT, 5G-enabled healthcare, bioinformatics, medical data analytics, and data governance, alongside the regulatory, ethical, and legal frameworks required to enable the responsible use of health data.
Through interdisciplinary dialogue and collaboration, the seminar aims to foster innovative, trustworthy approaches to health data management in the era of intelligent healthcare.
Topics of Interest (Not limited to)
Multimodal Data Intelligence and Privacy Challenges in Smart Healthcare
- Multimodal medical data collection, analysis, and governance involving wearable devices, medical imaging, electronic health records (EHRs), and remote monitoring systems, targeting high-frequency, strongly correlated, and easily re-identifiable sensitive information streams
- Semantic sensitivity recognition, patient entity protection, and controllable context generation in clinical information retrieval and knowledge extraction based on natural language processing (NLP)
- Privacy-preserving mechanisms for AI-assisted decision-making systems in rare disease diagnosis, orphan drug discovery, and drug repurposing, including data anonymization, protection of rare samples, and secure inference
- Privacy alignment and leakage prevention in the integration of multimodal data (e.g., images, text, physiological signals, speech, device logs) and high-throughput omics data, especially under differential analysis and cross-modal fusion scenarios
Privacy Protection Mechanisms in Health Information Systems
- Fine-grained encryption and access control for EHRs, ICU monitoring data, and clinical records
- Anonymization and de-identification methods for both structured and unstructured health data
- Deployment of privacy-enhancing technologies such as differential privacy and homomorphic encryption in real-world hospital information systems, with evaluation of performance and scalability
Privacy-Preserving Artificial Intelligence and Machine Learning
- Trade-off optimization between privacy protection and model performance, including privacy-aware neural network design, privacy regularization, model encryption, and pruning strategies
- Efficient deployment of federated learning in healthcare scenarios, addressing multi-institutional collaboration, data isolation, and model consistency
- Secure inference and privacy-preserving knowledge distillation techniques for sensitive medical environments
Genomic Data Privacy in Precision Medicine
- Privacy and security risks in the integration of genomic data across databases (e.g., single-cell sequencing and clinical phenotype linkage)
- De-identification technologies, revocable consent frameworks, and personalized access control schemes
- Compliance auditing and privacy assurance mechanisms for genomic research platforms (e.g., GDPR, IRB approval)
Ethical Governance and Secure Medical Data Sharing
- Interoperability standards and secure data exchange protocols across heterogeneous medical systems (e.g., FHIR, OAuth2.0 + ABAC-based access control)
- Responsibility allocation, ethical review processes, and transparent data disclosure strategies in data sharing practices
- Patient-centered consent negotiation frameworks and data sovereignty mechanisms, such as informed data authorization chains and verifiable access logging systems
Important Dates
- Call for Papers: June 25, 2025
- Full Paper Submission Deadline: October 15, 2025
- Notification of Acceptance: November 10, 2025
- Camera-Ready Submission: November 23, 2025
- Workshop Date: December 15, 2025
Program Chairs
- Prof. Songfeng Lu – Director; Expert in Bioinformatics and Data Privacy
- Dr. Zhe Dong – Expert in Smart Medicine and the CEO of Wuhan Ding ‘an Huasheng Technology Co., LTD.
- Dr. Zhi Lu – Expert in Privacy Computing and Genomic Data Security
Program Committee Members
- Dr. Renfei Shen, Expert in Medical Data Sharing and Ethical Governance
- Dr. ZiLong Wang, Expert in Privacy-Preserving AI and Machine Learning
- Dr. Shuai Guo, Expert in Innovation at the Intersection of Medicine and Technology
- Dr. Junming Li, Expert in Genomic Data Privacy in Precision Medicine
- Dr. Yutong Wu, Expert in bioinformatics and AI privacy
- Dr. Samir M. Umran, Expert in Lightweight and Scalable Blockchain Consensus Algorithm
Invited Keynote Speaker
- Dr. Zhe Dong – Expert in Smart Medicine and the CEO of Wuhan Ding ‘an Huasheng Technology Co., LTD