Novel Optimization And Analytics In Health

健康领域的新颖优化和分析

• 批准号: CRC-2018-00310
• 负责人: Chan, Timothy
• 金额: $ 7.29万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=730530
• 关键词: Novel; Optimization; Analytics; Health

Radiation therapy is used to treat over half of all cancer patients. Designing a personalized treatment that targets the patient¿s tumour while sparing healthy organs can take substantial effort. The goal of this proposal is to develop fundamentally new optimization methods that can be applied to help automate the treatment planning process. Prof. Chan¿s approach will ensure personalization, robustness and clinical deliverability of the resulting treatments. Automation will support the scalable design and delivery of cancer therapy, which is needed to satisfy the growing worldwide demand for therapeutic radiation.

放射治疗用于治疗超过一半的癌症患者。设计一种针对患者肿瘤的个性化治疗方法，同时保留健康器官，可能需要付出巨大的努力。该提案的目标是开发全新的优化方法，可用于帮助自动化治疗计划过程。陈教授的方法将确保所产生的治疗的个性化，稳健性和临床交付能力。自动化将支持癌症治疗的可扩展设计和交付，这是满足全球对治疗辐射日益增长的需求所必需的。