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o Encode and democratize knowledge accumulated by curating >1000 patients o Integrate patient's tumour molecular profile with treatment and high-throughput drug response data o Expand access to data accumulated to all researchers o Identify novel cancer drivers for functional genomic testing • Develop a paediatric pan-cancer classification and prognostic tool utilising machine learning methods to support clinicians in accurate diagnosis and treatment recommendations in a clinically relevant timeframe • Develop自然语言界面使用大型语言模型来改善可访问性和简化变体策划

UNSW FMH AI能力声明儿童癌症研究所v0.1

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