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美國Applied Proteomics Inc. (API)
Applied Proteomics Inc. 正致力于將蛋白質組學應用到診斷學、伴隨診斷學和個性化醫療領域的發展中，以幫助作出更好的醫療決策和提供更優質的醫療護理服務。 API 已開發出蛋白質組學平臺解決方案，它將使蛋白質生物標記物開發成為一項隨時解決健康診斷問題的可復制的工業化應用。 API 的平臺集結了先進的儀器設備、更快的計算功能、廣泛的基因組注釋和嚴密的標準操作程序、全面的質量控制、有據可循的工藝流程，涵蓋了從樣品收集到信息化處理的數百個步驟。 API 目前正在進行多個內部診斷開發項目。 API 總部位于加州圣地亞哥。


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.