LAB HAI
We Develop AI Methods & Models for Early Diagnosis & Clinical Decision Support
AI Methods
- Generative AI
- Multi-modal AI
- Multi-view learning
- Trustworthy AI
- Data mining
Direction
Multi-Modal AI
with Biomedical Data
Modality
- Imaging: MRI, CT, PET, Ultrasound
- Electrophysiology: EEG, NIRS, ECG, EMG
- Omics: WGS, FASTQ, scRNA, bulk TCR/BCR
- Text, Language
Clinical Research
- Biomarkers
- Classification
- Prognosis
- Decision Support
The LAB HAI aims to develop machine learning-based methods and tools that
ultimately contribute to well-being through early diagnosis of diseases.
Our efforts will accelerate the day when everyone has access to high-quality healthcare.
Keywords: Deep Learning, Generative AI, Diffusion, LLM, Statistical Analysis
Imaging Biomarker, Brain, Disease Prediction, Image Synthesis, Morphometry
Alzheimer's Disease, Dementia, Lesion, Dental X-ray/CT, Data & Label Study