Artificial intelligence applied to blood cancer diagnosis

该项目将把人工智能应用于血癌的诊断，主要是非霍奇金淋巴瘤，这是一种在整个人口中导致大量发病率和早期生命损失的癌症。这是一个致力于数据科学和人工智能的大学研究小组与圣詹姆斯大学医院的血液诊断实验室合作的项目。它将利用基因组序列、基因表达和病理图像数据进行大量的回溯性患者队列，以解决一系列重要的诊断问题，包括将惰性癌症转化为侵袭性癌症，发现标准治疗失败的亚组，以及确定新的分子靶向治疗组。

The project will apply artificial intelligence to the diagnosis of blood cancers, principally non-Hodgkin lymphomas, which are cancers that cause substantial morbidity and early loss of life across the population. It is a collaboration between a University research group working in data science and artificial intelligence and the haematological diagnostic laboratory at St James University Hospital. It will employ genome sequence, gene expression and pathology image data for a substantial retrospective patient cohort to tackle a range of important diagnostic problems, including the transformation of indolent cancers to aggressive form, discovery of sub-groups where standard therapy fails and the identification of groups for novel molecularly targeted therapies.