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As rare cancers often lack sufficient clinical data, their diagnosis and treatment remain particularly challenging.
Herbert Loong from the Chinese University of Hong Kong said artificial intelligence can boost the knowledge base for rare cancers, stressing its constructive role in medical prediction, planning and communication.