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中文摘要
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描述(申请人提供):个体患者的基因组分析现在是负担得起的,针对特定分子异常的治疗正在临床试验中进行测试。然而,即使是顶尖学术中心的高度专业化的医生,也不具备将公开来源的基因组信息应用于有关个别患者的临床决策的能力。我们的中心假设是,我们可以开发信息学工具来支持个性化的癌症治疗,作为“护理的标准”,而不是“一次性”的例外。我们将:1)实施生物信息学管道,将分子数据处理成可操作的简档;2)使用公开来源的自动处理,创建并维护常见基因组异常的治疗影响数据库;3)开发工具,总结并向临床医生提供针对患者的建议。这些工具将基于现有技术和公开可用的数据来源。一旦经过测试,我们将通过适当的开源许可证提供这些工具。
英文摘要
DESCRIPTION (provided by applicant): Genomic analysis of individual patients is now affordable and therapies targeted to specific molecular aberrations are being tested in clinical trials. However, even highly-specialized physicians at leading academic centers are not equipped to apply genomic information available in publically available sources to clinical- decision-making concerning individual patients. Our central hypothesis is that we can develop informatics tools to support personalized cancer treatment as "standard of care" rather than "one off" exceptions. We will: 1) implement a bioinformatics pipeline for processing molecular data into actionable profiles, 2) create and maintain a database of therapeutic implications of common genomic aberrations using automated processing of publically-available sources and 3) develop tools to summarize and present patient-specific advice to clinicians. These tools will be based on existing technologies and publicly available data sources. Once tested, we will make these tools available via appropriate open source license.
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Informatics to enable routine personalized cancer therapy
Concept-Level Methods for Comparative Effectiveness Research
Concept-Level Methods for Comparative Effectiveness Research
Using citation data to improve retrieval from MEDLINE
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