Researchers at Mass General Brigham developed AI models UNI and CONCH for computational pathology, focusing on cancer classification, rare disease identification, and disease understanding.
Researchers at Mass General Brigham have developed two AI foundation models, UNI and CONCH, for computational pathology. UNI focuses on understanding pathology images and excels at tasks like cancer classification and organ transplant assessment, while CONCH combines pathology images and language, helping identify rare diseases and improve disease understanding. Both models were trained on large datasets and have the potential to significantly advance medical diagnostics and treatments, with their code made publicly available for further research.
March 19, 2024
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