Mahmood Lab AI Foundation Models
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About
Mahmood Lab aims to enhance pathology through machine learning, data fusion, and medical image analysis. Their AI foundation models, UNI and CONCH, are designed for improved diagnostic accuracy and prognostic insights in pathology. UNI is a universal model trained on over 100 million tissue images, excelling in various clinical tasks, while CONCH integrates pathology images and language, facilitating interactive querying for specific morphologies. These models represent significant advancements in computational pathology, promising to set new standards for AI applications in healthcare.
Platform
Task
Features
• multimodal ai development
• automated pathology workflows
• interobserver variability reduction
• image-text integration
• foundation models for data fusion
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