Track I Large-Scale Population Cohorts: Subtrack 3. Brain Health Cohort(J28002)

Foundation Model

A multimodal large model capable of processing and integrating genomic, textual, imaging, and other data modalities.

Vertical Applications

• Precision brain health assessment
• Early prediction of neurodegenerative changes
• AI-assisted mental health evaluation
• Empowerment of brain health management

Affiliated Branch

Hangzhou Branch (Hangzhou)

(1) Preferred Background

Neuroscience, Biomedical Engineering, Computer Vision, Bioinformatics, Psychology, or Computer Science.

(2) Core Technical Skills

Experience with multimodal deep learning (imaging + genomics + text); familiarity with Transformer architectures; medical image analysis (MRI/fMRI/EEG).

(3) Modeling Competency

Ability to build multimodal foundation models or predictive systems for neurodegenerative or mental health assessment.

(4) Preferred Qualifications

Hands-on experience with neuroimaging datasets; background in signal processing or clinical NLP is a plus.

(5) Personal Traits

Strong mathematical maturity, systems-level thinking, and interest in AI for cognitive and mental health.