AI 摘要
新训练的多模态 AI 模型能将常规病理切片转化为空间蛋白质组学数据,在缩短检测时间、降低成本的同时,提升癌症医疗的可及性。
We've trained a multimodal AI model to turn routine pathology slides into spatial proteomics, with the potential to reduce time and cost while expanding access to cancer care.
新训练的多模态 AI 模型能将常规病理切片转化为空间蛋白质组学数据,在缩短检测时间、降低成本的同时,提升癌症医疗的可及性。
We've trained a multimodal AI model to turn routine pathology slides into spatial proteomics, with the potential to reduce time and cost while expanding access to cancer care.
新训练的多模态 AI 模型能将常规病理切片转化为空间蛋白质组学数据,在缩短检测时间、降低成本的同时,提升癌症医疗的可及性。
We've trained a multimodal AI model to turn routine pathology slides into spatial proteomics, with the potential to reduce time and cost while expanding access to cancer care.