Personalized Digital Health Modeling with Adaptive Support Users
Department of Computer Science, University of California, Irvine（加州大学尔湾分校计算机科学系）；Thrive AI Health；Sue & Bill Gross School of Nursing , University of California, Irvine（加州大学尔湾分校苏和比尔·格罗斯护理学院）
Zhongqi Yang, Mahkameh Rasouli, Neda Mohseni, Yong Huang, Iman Azimi, Amir M. Rahmani
Personalized models are essential in digital health because individuals exhibit substantial physiological and behavioral heterogeneity. Yet personalization is limited by scarce and noisy user-specific data. Most existing methods rely on population pretraining or data from similar users only, which can lead to biased transfer and weak generalization. We propose a unified personalization framework that trains a personal model using adaptively weighted support users, including both similar and dissimilar individuals. The objective integrates personal loss, similarity-weighted transfer from similar users, and contrastive regularization from dissimilar users to suppress misleading correlations. An iterative optimization algorithm jointly updates model parameters and user similarity weights. Experiments on six tasks across four real-world digital health datasets show consistent improvements over population and personalized baselines. The method achieves up to 10% lower RMSE on large-scale datasets and approximately 25% lower RMSE in low-data settings. The learned adaptive weights improve data efficiency and provide interpretable guidance for targeted data selection.
FedHealth 2: Weighted Federated Transfer Learning via Batch Normalization for Personalized Healthcare
Institute of Computing Technology, Chinese Academy of Sciences（中国科学院计算技术研究所）；University of Chinese Academy of Sciences（中国科学院大学）；Microsoft Research Asia（微软亚洲研究院）
Toward Personalized Digital Twins for Cognitive Decline Assessment: A Multimodal, Uncertainty-Aware Framework
Department of Mechanical, Industrial \& Manufac. Eng. The University of Toledo Toledo, OH, USA；Department of Industrial Eng.；Mngt. Systems University of Central Florida Orlando, FL, USA；Department of Statistics；Data Science University of Central Florida Orlando, FL, USA；Department of Internal Medicine University of Central Florida Orlando, FL, USA
Artificial Intelligence-driven Intelligent Wearable Systems: A full-stack Integration from Material Design to Personalized Interaction
The second hospital of Jilin University（吉林大学第二医院）；QMUL Digital Environment Research Institute（QMUL数字环境研究机构）；UCL Institute Of Health Informatics（UCL健康信息学研究所）
Personalized Heart Disease Detection via ECG Digital Twin Generation
College of Computer Science and Technology, Zhejiang University（浙江大学计算机科学与技术学院）；University of Illinois at Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校）；Guangdong Provincial People’s Hospital, Southern Medical University（南方医科大学广东省人民医院）；Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences（广东省人民医院广东省心血管病研究所、广东省医学科学院）；School of Public Health, Zhejiang University（浙江大学公共卫生学院）
Data-driven techniques for translational neuroscience and personalized neuro-health
University of Maryland Baltimore County（马里兰大学巴尔的摩郡分校）；Texas Tech University（得克萨斯理工大学）；University of Minnesota（明尼苏达大学）；University of Nebraska Lincoln（内布拉斯加大学林肯分校）
AI Approaches in Processing and Using Data in Personalized Medicine
University of Novi Sad, Faculty of Sciences（诺维萨德大学理学院）；German Research Center for Artificial Intelligence (DFKI)（德国人工智能研究中心）；NETCOMPANY-INTRASOFT S.A.（NETCOMPANY-INTRASOFT股份公司）
A Revolution of Personalized Healthcare: Enabling Human Digital Twin with Mobile AIGC
Nanjing University of Aeronautics and Astronautics（南京航空航天大学）；Nanyang Technological University（南洋理工大学）；Guangdong University of Technology（广东工业大学）；Concordia University（康考迪亚大学）；University of Waterloo（滑铁卢大学）
Personalized Education with Generative AI and Digital Twins: VR, RAG, and Zero-Shot Sentiment Analysis for Industry 4.0 Workforce Development
Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA（电气与计算机工程系，亚利桑那大学，图森，亚利桑那州，美国）；Department of Systems and Industrial Engineering, University of Arizona, Tucson, AZ, USA（系统与工业工程系，亚利桑那大学，图森，亚利桑那州，美国）；Department of Industrial Engineering, University of Sonora, Hermosillo, Mexico（工业工程系，索诺拉大学，赫尔莫索，墨西哥）
Data Mining Session-Based Patient Reported Outcomes (PROs) in a Mental Health Setting: Toward Data-Driven Clinical Decision Support and Personalized Treatment
Policy Optimization for Personalized Interventions in Behavioral Health
Stern School of Business, New York University（纽约大学斯特恩商学院）；Telfer School of Management, University of Ottawa（渥太华大学泰尔弗管理学院）；Sloan School of Management, Massachusetts Institute of Technology（麻省理工学院斯隆管理学院）
AmarDoctor: An AI-Driven, Multilingual, Voice-Interactive Digital Health Application for Primary Care Triage and Patient Management to Bridge the Digital Health Divide for Bengali Speakers
MedAi Bangladesh Limited（MedAi孟加拉有限公司）；Central Police Hospital, Dhaka, Bangladesh（达卡警察医院）；University of Birmingham, UK（英国伯明翰大学）
