美国Applied Proteomics Inc. (API)
Applied Proteomics Inc. 正致力于将蛋白质组学应用到诊断学、伴随诊断学和个性化医疗领域的发展中，以帮助作出更好的医疗决策和提供更优质的医疗护理服务。 API 已开发出蛋白质组学平台解决方案，它将使蛋白质生物标记物开发成为一项随时解决健康诊断问题的可复制的工业化应用。 API 的平台集结了先进的仪器设备、更快的计算功能、广泛的基因组注释和严密的标准操作程序、全面的质量控制、有据可循的工艺流程，涵盖了从样品收集到信息化处理的数百个步骤。 API 目前正在进行多个内部诊断开发项目。 API 总部位于加州圣地亚哥。


Applied Proteomics Inc. (API) is advancing the application of proteomics to the development of diagnostics, companion diagnostics, and personalized medicine applications to power better medical decisions and care. API has developed a proteomics platform solution to make protein-based biomarker discovery possible as a replicable, industrial application ready to be applied to health diagnostic problems. API's platform combines improved instrumentation, faster computing and extensive genome annotations with regimented standard operating procedures, extensive quality controls, and documented processes spanning hundreds of steps from sample collection to processing through informatics. API is currently advancing several internal diagnostic development programs. API is headquartered in San Diego, CA.
API was co-founded by Dr. Danny Hillis, a leader in computer science and systems engineering and Dr. David Agus, a leading oncologist and trailblazer in molecular medicine applications. Dr. Agus saw protein measurement as the best diagnostic tool, but protein-based diagnostics were failing to fulfill the potential.

Drawing on his own extensive experience in systems engineering and particularly in designing complex, data-intensive processes, Dr. Hillis recognized the short-comings of proteomics were not necessarily the individual components but the highly complicated, highly integrated process itself. Given its inherent complexity, proteomics demanded a novel discovery approach.

To pioneer the best proteomics platform, API adopted an industrial approach to combine improved instrumentation, faster computing and extensive genome annotations with regimented standard operating procedures, extensive quality controls, and documented processes spanning hundreds of steps from sample collection to processing through informatics.