Artificial intelligence applied to blood cancer diagnosis

该项目将人工智能应用于血癌的诊断，主要是非霍奇金淋巴瘤，这是一种导致大量发病率和早期死亡的癌症。这是一个在数据科学和人工智能领域工作的大学研究小组与圣詹姆斯大学医院血液诊断实验室之间的合作。它将采用基因组序列，基因表达和病理图像数据进行大量回顾性患者队列，以解决一系列重要的诊断问题，包括惰性癌症向侵袭性形式的转化，发现标准治疗失败的亚组以及识别新型分子靶向治疗的组。

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.