RII Track-1: AI-enabled Devices for the Advancement of Personalized and Transformative Healthcare in South Carolina
RII Track-1:人工智能设备促进南卡罗来纳州个性化和变革性医疗保健的发展
基本信息
- 批准号:2242812
- 负责人:
- 金额:$ 2000万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Cooperative Agreement
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-08-01 至 2028-07-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
The vision of the "Artificial Intelligence-enabled Devices for the Advancement of Personalized and Transformative Healthcare in South Carolina" (ADAPT) project is to build research capacity at the nexus of artificial intelligence (AI), life and social sciences, and bioengineering through fundamental research, education, workforce development, and industry partnerships. Building this capacity will significantly accelerate the development and deployment of AI solutions to create next-generation biomedical devices that will improve healthcare outcomes and address the healthcare needs of South Carolinians, especially those in underserved regions. ADAPT will contribute to South Carolina’s AI-enabled biomedical device industry by fostering cross-cutting STEM research throughout the state and translating research outcomes into new technologies. Participation in AI development and associated biomedical device research will be expanded by recruiting and supporting trainees from groups traditionally underrepresented through STEM camps, teacher engagement, and retention/persistence initiatives along the STEM pipeline. ADAPT will be led by Clemson University in partnership with Benedict College, The Citadel, Claflin University, College of Charleston, Francis Marion University, Medical University of South Carolina, South Carolina Research Authority, South Carolina State University, Tri-County Technical College, University of South Carolina, and Winthrop University. ADAPT research will focus on emerging biomedical AI and its integration with targeted biomedical devices for use in three phases of medical interventions: diagnosis, treatment, and rehabilitation. The AI-enabling Core will take on fundamental research in biomedical AI, tackling issues such as data acquisition, multimodal data fusion, data representation learning, meta-learning, physics-informed machine learning, security, and trustworthy AI to provide integrated solutions for the biomedical devices developed in each research thrust. The AI ethics team in ADAPT’s AI-enabling Core is tasked to set AI ethics standards and design innovative education and training programs to ensure that the AI-enabled biomedical devices are trusted by both healthcare providers and receivers in practice. Research will address critical issues in biomedical AI, including incorporation of ethics into design decisions; elimination of the “black box” via explainable AI; integration of multimodal data via deep learning models; and AI-device integration via digital twins. ADAPT will deliver a new national model for developing biomedical devices, educating and training a biomedical AI workforce, and interacting with stakeholders. ADAPT will benefit the State of South Carolina through: (1) leadership and national prominence in healthcare AI; (2) an AI-literacy campaign to promote the use of AI in addressing healthcare disparities; (3) social awareness of the importance of AI in precision medicine; and (4) professional competency in AI through continuing education credits for healthcare professionals (e.g., nurses, physicians, and healthcare administrators).This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
“人工智能设备促进南卡罗来纳州个性化和变革性医疗保健的发展”(ADAPT) 项目的愿景是通过基础研究、教育、劳动力发展和行业合作,建立人工智能 (AI)、生命和社会科学以及生物工程之间的研究能力。建设这种能力将显着加速人工智能解决方案的开发和部署,以创建下一代生物医学设备,从而改善医疗保健结果并满足南卡罗来纳州人的医疗保健需求,特别是服务欠缺地区的医疗保健需求。 ADAPT 将通过在全州范围内促进跨领域 STEM 研究并将研究成果转化为新技术,为南卡罗来纳州的人工智能生物医学设备行业做出贡献。通过 STEM 训练营、教师参与以及 STEM 管道中的保留/持久计划,招募和支持传统上代表性不足的群体中的学员,从而扩大对人工智能开发和相关生物医学设备研究的参与。 ADAPT 将由克莱姆森大学牵头,与本尼迪克特学院、城堡大学、克拉夫林大学、查尔斯顿学院、弗朗西斯马里恩大学、南卡罗来纳医科大学、南卡罗来纳研究局、南卡罗来纳州立大学、三县技术学院、南卡罗来纳大学和温思罗普大学合作。 ADAPT 研究将重点关注新兴的生物医学人工智能及其与目标生物医学设备的集成,用于医疗干预的三个阶段:诊断、治疗和康复。人工智能核心将承担生物医学人工智能的基础研究,解决数据采集、多模态数据融合、数据表示学习、元学习、物理信息机器学习、安全和可信人工智能等问题,为每个研究方向开发的生物医学设备提供集成解决方案。 ADAPT 的 AI 支持核心中的 AI 道德团队的任务是制定 AI 道德标准并设计创新的教育和培训计划,以确保支持 AI 的生物医学设备在实践中受到医疗保健提供者和接收者的信任。研究将解决生物医学人工智能的关键问题,包括将伦理纳入设计决策;通过可解释的人工智能消除“黑匣子”;通过深度学习模型整合多模态数据;通过数字孪生进行人工智能设备集成。 ADAPT 将提供一个新的国家模型,用于开发生物医学设备、教育和培训生物医学人工智能劳动力以及与利益相关者互动。 ADAPT 将通过以下方式使南卡罗来纳州受益:(1) 在医疗保健人工智能领域的领导地位和全国知名度; (2) 开展人工智能扫盲运动,以促进人工智能在解决医疗保健差距方面的应用; (3)社会对人工智能在精准医疗中重要性的认识; (4) 通过医疗保健专业人员(例如护士、医生和医疗保健管理人员)的继续教育学分来提高人工智能的专业能力。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力优点和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Tanju Karanfil其他文献
Mesoporous activated carbon shows superior adsorption affinity for 11-nor-9-carboxy-Δ9-tetrahydrocannabinol in water
中孔活性炭对水中 11-去甲-9-羧基-Δ9-四氢大麻酚表现出优异的吸附亲和力。
- DOI:
10.1038/s41545-019-0049-7 - 发表时间:
2020-01-21 - 期刊:
- 影响因子:11.400
- 作者:
Arsalan Khalid;Lewis S. Rowles;Mohamed Ateia;Minhao Xiao;Irwing Ramirez-Sanchez;Dhimiter Bello;Tanju Karanfil;Navid B. Saleh;Onur G. Apul - 通讯作者:
Onur G. Apul
Advancing water treatment: Ozone nanobubbles for geosmin and 2-methylisoborneol control
水处理技术进展:用于控制土臭素和2 - 甲基异莰醇的臭氧纳米气泡
- DOI:
10.1016/j.cej.2025.162892 - 发表时间:
2025-06-01 - 期刊:
- 影响因子:13.200
- 作者:
Meryem Soyluoglu;Clinton F. Williams;Tanju Karanfil - 通讯作者:
Tanju Karanfil
The effects of granular activated carbon heating rate and moisture content on defluorination of per- and polyfluoroalkyl substances during microwave regeneration
颗粒活性炭升温速率和含水量对微波再生过程中全氟和多氟烷基物质脱氟的影响
- DOI:
10.1016/j.watres.2025.123618 - 发表时间:
2025-08-15 - 期刊:
- 影响因子:12.400
- 作者:
Nazmiye Cemre Birben;Yeakub Zaker;Alireza Faraji;Erica Gagliano;Pietro P. Falciglia;Paolo Roccaro;Tanju Karanfil - 通讯作者:
Tanju Karanfil
Combined effects of polyamide microplastic and sulfamethoxazole in modulating the growth and transcriptome profile of hydroponically grown rice (emOryza sativa/em L.)
聚酰胺微塑料和磺胺甲恶唑在调节水培水稻(Oryza sativa L.)生长和转录组谱方面的联合作用
- DOI:
10.1016/j.scitotenv.2024.175909 - 发表时间:
2024-11-20 - 期刊:
- 影响因子:8.000
- 作者:
Raza Ullah;Julia Farias;Biruk A. Feyissa;Martin Tsz-Ki Tsui;Alex Chow;Clinton Williams;Tanju Karanfil;Ayalew Ligaba-Osena - 通讯作者:
Ayalew Ligaba-Osena
Removal of wastewater and polymer derived <em>N</em>-nitrosodimethylamine precursors with integrated use of chlorine and chlorine dioxide
- DOI:
10.1016/j.chemosphere.2018.10.088 - 发表时间:
2019-02-01 - 期刊:
- 影响因子:
- 作者:
Habibullah Uzun;Daekyun Kim;Tanju Karanfil - 通讯作者:
Tanju Karanfil
Tanju Karanfil的其他文献
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{{ truncateString('Tanju Karanfil', 18)}}的其他基金
Planning: ADAPT in SC: AI-enabled Devices for the Advancement of Personalized and Transformative Healthcare in South Carolina
规划:ADAPT in SC:人工智能设备促进南卡罗来纳州个性化和变革性医疗保健的发展
- 批准号:
2210336 - 财政年份:2022
- 资助金额:
$ 2000万 - 项目类别:
Standard Grant
Addressing Student Skills Gaps in Water Treatment Operator Education Utilizing Virtual Reality Enabled Curriculum Resources
利用虚拟现实课程资源解决水处理操作员教育中的学生技能差距
- 批准号:
2202051 - 财政年份:2022
- 资助金额:
$ 2000万 - 项目类别:
Standard Grant
Formation of Halonitromethanes and Nitrosamines During Ozonation in Drinking Water Treatment
饮用水处理中臭氧化过程中卤代硝基甲烷和亚硝胺的形成
- 批准号:
1066567 - 财政年份:2011
- 资助金额:
$ 2000万 - 项目类别:
Standard Grant
Quantitative Structure-Adsorbability Relationships for the Adsorption of Organic Chemicals by Carbon Nanotubes
碳纳米管吸附有机化学品的定量结构-吸附性关系
- 批准号:
0967425 - 财政年份:2010
- 资助金额:
$ 2000万 - 项目类别:
Standard Grant
Exploring the physical factors and chemical interactions involved in the adsorption of synthetic aromatic compounds by carbonaceous adsorbents
探索碳质吸附剂吸附合成芳香族化合物所涉及的物理因素和化学相互作用
- 批准号:
0730694 - 财政年份:2007
- 资助金额:
$ 2000万 - 项目类别:
Continuing Grant
Development of Novel, Inexpensive, and Selective Carbonaceous Sorbents for Enhanced Removal of Dissolved Organic Matter from Natural Waters
开发新型、廉价、选择性碳质吸附剂以增强去除天然水中溶解的有机物
- 批准号:
0332019 - 财政年份:2003
- 资助金额:
$ 2000万 - 项目类别:
Continuing Grant
CAREER: Novel Use of Carbon Fibers for Removal of Priority Pollutants from Aqueous Solutions
职业:碳纤维去除水溶液中优先污染物的新用途
- 批准号:
0093600 - 财政年份:2001
- 资助金额:
$ 2000万 - 项目类别:
Continuing Grant
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