KS-Detect: A sample-in, answer-out solution to the Diagnosis of Kaposi's Sarcoma

KS-Detect:卡波西肉瘤诊断的样本输入、答案输出解决方案

基本信息

  • 批准号:
    8636238
  • 负责人:
  • 金额:
    $ 23.28万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2013
  • 资助国家:
    美国
  • 起止时间:
    2013-12-06 至 2015-11-30
  • 项目状态:
    已结题

项目摘要

Abstract The goal of this project is to develop a complete "sample-in-answer-out" solution to the diagnosis of Kaposi's sarcoma (KS) in limited resource settings through the development of our KS-Detect system. Kaposi's sarcoma is the leading cancer in men and the second leading cancer in women in sub-Saharan Africa. KS is difficult to distinguish from other angioproliferative diseases, particularly in Africa where access to trained pathologists is limited to few hospitals and immunohistochemistry is practically non-existent. Multiple studies have shown that PCR based nucleic acid identification of Kaposi's sarcoma herpesvirus (KSHV) in skin biopsies represents the best method of performing an unambiguous diagnosis in the absence of immunohistochemistry. The KS-Detect system combines our (1) "lab-on-a-syringe" technology for biopsy extraction and sample processing, (2) solar-thermal PCR for extremely low-power nucleic acid amplification, and (3) a nanoparticle based colorimetric smartphone assay for the quantification of the results. The system is designed to be used by a field nurse and addresses a number of challenges with low resource setting diagnosis of Kaposi's sarcoma including: the ability to take and process a biopsy samples in the field, providing at least a 10-fold increase in the number of diagnostic reactions that can be performed on a single battery charge by using sunlight to drive the thermal cycling process, and elimination of the reliance on specialized instrumentation requiring only a smartphone and a lens thereby enabling the system to be fixed in the field by the operator. We have already demonstrated each of the three technologies used in the KS-Detect system. The aims of this R21 effort are to optimize each of the technologies while integrating them into the workflow, and to perform a series of system level validation experiments using human samples. This pre-clinical optimization is critical prior to clinical implementation.
摘要

项目成果

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David Carl Erickson其他文献

David Carl Erickson的其他文献

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{{ truncateString('David Carl Erickson', 18)}}的其他基金

Point of Care Technologies for Nutrition, Infection, and Cancer for Global Health (PORTENT)
全球健康营养、感染和癌症护理点技术 (PORTENT)
  • 批准号:
    10714506
  • 财政年份:
    2023
  • 资助金额:
    $ 23.28万
  • 项目类别:
Point of Care Technologies for Nutrition, Infection, and Cancer for Global Health (PORTENT)
全球健康营养、感染和癌症护理点技术 (PORTENT)
  • 批准号:
    10714507
  • 财政年份:
    2023
  • 资助金额:
    $ 23.28万
  • 项目类别:
Artificial Intelligence and Precision Nutrition Training Program
人工智能与精准营养培训项目
  • 批准号:
    10752485
  • 财政年份:
    2023
  • 资助金额:
    $ 23.28万
  • 项目类别:
Technology Core
技术核心
  • 批准号:
    10714508
  • 财政年份:
    2023
  • 资助金额:
    $ 23.28万
  • 项目类别:
Paper-COVID - Platform for High-throughput SARS-CoV-2 Screening and Contact Tracing
Paper-COVID - 高通量 SARS-CoV-2 筛查和接触者追踪平台
  • 批准号:
    10196383
  • 财政年份:
    2021
  • 资助金额:
    $ 23.28万
  • 项目类别:
Development of a Point of Care Multiplexed Diagnostic Platform to Target Anemia and Micronutrient Deficiencies
开发针对贫血和微量营养素缺乏症的护理多重诊断平台
  • 批准号:
    9542788
  • 财政年份:
    2017
  • 资助金额:
    $ 23.28万
  • 项目类别:
Early Stage Diagnosis of Kaposi's Sarcoma in Limited Resource Settings using KS-Detect
使用 KS-Detect 在有限资源环境下对卡波西肉瘤进行早期诊断
  • 批准号:
    9334145
  • 财政年份:
    2016
  • 资助金额:
    $ 23.28万
  • 项目类别:
FeverPhone: Point of Care Diagnosis of Acute Febrile Illness using a Mobile Device
FeverPhone:使用移动设备对急性发热性疾病进行护理点诊断
  • 批准号:
    9008392
  • 财政年份:
    2016
  • 资助金额:
    $ 23.28万
  • 项目类别:
Early Stage Diagnosis of Kaposi's Sarcoma in Limited Resource Settings using KS-Detect
使用 KS-Detect 在有限资源环境中对卡波西肉瘤进行早期诊断
  • 批准号:
    9031275
  • 财政年份:
    2016
  • 资助金额:
    $ 23.28万
  • 项目类别:
Early Stage Diagnosis of Kaposi's Sarcoma in Limited Resource Settings using KS-Detect
使用 KS-Detect 在有限资源环境下对卡波西肉瘤进行早期诊断
  • 批准号:
    10018466
  • 财政年份:
    2016
  • 资助金额:
    $ 23.28万
  • 项目类别:

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