Taiwan AI Labs Partners With Shin-Kong Hospital for Ensuring Quality in Clinical Application of NGS

Medical care in cancer treatment planning and inherited disease diagnosis have increasingly adopted genetic-based examination as part of standard medical care. At the beginning of 2021, the Taiwan Food and Drug Administration(TFDA) modified the “Regulations Governing the Application or Use of Specific Medical Techniques or Examinations, or Medical Devices,” which added the guidance of the regulatory approach to genetic testing. Guidelines specifically describe how clinical laboratories design, develop, and validate tests. Also, it identifies the role and responsibility of healthcare institutes for adopting these new testing in the patient journey.

Among the varieties of genetic testing technology, NGS has the potential to bring vast amounts of data, meaning that efficient systems for storage and QC evaluation are more essential than ever. TAIGenomics, under Taiwan AI Labs, has continued to collaborate with the Precision Medicine Center of Shin Kong Hospital(SKH) over the past three years to implement a clinical-user-friendly platform called QCheck into their medical flow. This platform follows up different guidelines and regulations, such as FDA, ACMG, NYSDOH, and CAP, and provides different perspectives to monitor the quality of NGS-based genetic testing.

“TAIGenomics is delicate in combining the power of informatics talents and clinicians. In the future of precision medicine, we want to provide the security of recognized certification and ensure clinical labs deliver optimum performance, quality, and safety in sensitive clinic-genomic data,” Taiwan AI Labs Founder Ethan Tu said in a statement.

↑ QCheck (Accumulate and Validate your omics data quality with trusted international guidelines): Developed by Taiwan AI Labs with graphic-interface, comprehensive quality item, and automatic reports for clinicians and pathologists. Assist with the omics data quality check and comply with LDTs regulations in Taiwan and international guidelines.

“We had set up the precision medicine center in 2018, which aims to accelerate the processing of adopting new technology into the clinical field,” Superintendent from SKH, Sheng-Mou Hou, said in a statement. “With the enhancement of the regulation, healthcare providers and examination laboratories must ensure high levels of data quality and rigorous validation in variant interpretation for the adoption of companion diagnostics.”

“As a gatekeeper in Shin-kong hospital, our mission is to assure testing quality from the clinical laboratories,” Director from Precision Medicine Center ar SKH, Hong-Jhih Lai, said. “We deployed troops in preparation for the regulation. We have already collected and confirmed more than 1,000 cases in the last three years and will keep optimizing the workflow with the TAIGenomics team.”

↑ Smart medical information system: Combined with the information management system and QCheck software, quality control is carried out for the genetic testing items of testing manufacturers. If it doesn’t meet the regulations,  the center will request the testing manufacturers to re-test. 

Errors will occur in all areas of laboratory testing. When it happens in genetic testing, it can prompt clinical decisions with a high risk since it’s not easy to be identified. As genetic testing has become the future of medicine, all stakeholders in precision medicine industries should think beyond the baseline standard and start working on a more high-quality validation system.

台灣人工智慧實驗室攜手新光醫院 實現病患個人化醫療

 癌症治療及遺傳疾病已經跨入精準醫療時代,為了提升台灣疾病檢測及臨床服務的品質,衛福部於110年2月9日發布了修正版特管辦法,因應醫療服務品質及醫療技術的發展,將實驗室開發檢測(Laboratory Developed Tests, LDTs)也納入其中。台灣人工智慧實驗室(Taiwan AI Labs)與新光醫院精準醫學中心透過臨床及技術的雙向合作,超前部署開發出精準醫學中心之「智慧醫療資訊系統」,針對多項實驗室開發檢測,特別是次世代定序檢測,進行自動化品管驗證,新光醫院成為台灣首家醫學中心將基因檢測品質導入第三方數據品質管理的概念,為病患的檢測服務優先把關。



近年來個人化醫療意識逐漸增加,根據 Research and Markets 統計,2025年以前全球精準醫療市場規模將達到 1,126 億美金。因此現今的基因檢測已不限於癌症治療,針對新生兒、遺傳疾病、代謝疾病、個人健康與老化等,皆有多元的產品及服務推出,該如何選擇最佳的診斷及為個人基因數據的把關,則應透過智慧化的檢測品質資訊系統,協助解決臨床實際面臨的問題。未來精準醫療服務,要如何減輕病人身心負擔、節省醫療資源及持續創新產品,健全的法規、醫療、科技三者的結合是必然的趨勢。

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「台灣聯合學習醫療聯盟」今日於台灣人工智慧實驗室 (Taiwan AI Labs) 由陳建仁前副總統、國發會高仙桂副主委、科技部林敏聰次長、疫情指揮中心張上淳召集人、食藥署李明鑫主秘、臺大楊泮池前校長、臺大醫院吳明賢院長、北醫附醫陳瑞杰院長、北榮陳適安副院長、三總王智弘院長、台北慈濟醫院鄭敬楓副院長、中國醫藥大學附設醫院許凱程主任等多家醫學中心代表與計畫主持人,以及Taiwan AI Labs創辦人杜奕瑾共同宣佈啟動。

抗疫即戰力!Taiwan AI Labs老藥新用模擬資料庫躍上國際期刊

台灣人工智慧實驗室與中研院、臺灣大學、陽明大學等國內學研單位COVID-19合作平台,在科技部支持下,從「老藥新用」角度著手,投入在較可能有效用之化合物上,加速研究進度。DockCoV2目前已累積兩萬多筆模擬結果,並於2020年10月刊登於Google Scholar生物化學研究領域排名第一的期刊《核酸研究 (Nucleic Acids Research)》。