Large scale knowledge and image based biomedical modelling and derivation of PET-CT disease maps and treatment response

聪明地使用信息来改善、促进和维持良好的医疗保健是我们国家的一项重要使命。癌症是澳大利亚社会的一个严重问题，每四个人中就有一个会在一生中受到癌症的影响。我们的研究集中在两种类型的癌症-肺癌和淋巴瘤-它将以一种新的方式使用IT从非常大的生物医学数据库中提取重要信息。我们希望它将改进这些癌症的个性化诊断和治疗，并为一些癌症如何扩散和抵制我们的常规治疗提供新的信息。我们认为我们的技术将有助于其他研究领域，如天文学、农业、水/能源资源和安全。

The smart use of information to improve, promote and maintain good healthcare is a critical mission for our country. Cancer is a serious problem in Australian society and 1 in 4 individuals will be affected by it in their lifetime. Our research is focussed on two types of cancer - lung cancer and the lymphomas - and it will use IT in a novel way to extract important information from a very large biomedical data repository. We hope that it will improve personalised diagnosis and treatment in these cancers and provide new information on how some cancers spread and resist our usual treatments. We think our techniques will contribute to other research areas such as astronomy, agriculture, water/energy resources, and security.