希望之光组织HIE/脑瘫跨领域研讨，基础科研与临床转化多方对话

TL;DR - BRIGHT Foundation convened researchers, engineers, AI specialists, and clinicians to explore translating neuroscience advances into long-term rehabilitation for HIE and cerebral palsy. The effort centers on AI-assisted research synthesis, non-invasive neuromodulation, personalized monitoring, and clinically supervised closed-loop rehabilitation.

• The proposed NeuroLoop framework would connect neural stimulation, sensors, movement analysis, wearables or soft robotics, and task-oriented rehabilitation; it remains an open conceptual framework, not a commercial product.
• BRIGHT Horizon Filter uses AI plus expert review to screen hundreds of peer-reviewed studies weekly across ten biomedical and engineering domains for potentially translatable findings.
• Participants highlighted taVNS, EEG, eye tracking, IMUs, markerless motion capture, and musculoskeletal modeling as promising components, while emphasizing safety constraints and rigorous clinical assessment.
• BRIGHT advocates longitudinal N-of-1 models and federated data networks that keep sensitive patient data within institutions while supporting collaborative AI modeling.