Computational Characterization of Environmental Enteropathy
环境性肠病的计算表征
基本信息
- 批准号:10627838
- 负责人:
- 金额:$ 19.26万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-08-01 至 2024-05-31
- 项目状态:已结题
- 来源:
- 关键词:5 year oldAddressAgeAntigensAsiaBangladeshiBile AcidsBiochemicalBiologicalBiological MarkersBiopsyBirthCaringCeliac DiseaseCessation of lifeChildChildhoodChronicClassificationClinicalClinical MarkersClinical ResearchCognitive deficitsCohort StudiesCollaborationsComputing MethodologiesData ScienceDetectionDevelopmentDevelopment PlansDiagnosisDiagnosticDuodenumEnvironmental Risk FactorEtiologyExhibitsExposure toFailureFoundationsFundingGastroenterologistGenetic TranscriptionGlutenGoalsGrowthHealthHistologicHistologyHistopathologyHuman PathologyImageImpairmentInflammationInjuryIntestinal permeabilityIntestinesK-Series Research Career ProgramsKnowledgeLactuloseLamina PropriaLeadLengthLinkLymphocytosisMS4A1 geneMalnutritionMeasurementMeasuresMediatingMentorsMentorshipMetabolicMilieu TherapyMorphologyMucositisMultiomic DataNeurocognitivePakistanPathogenesisPathologicPathway interactionsPatternPhysiciansPopulationPopulations at RiskPrevalencePublicationsResearchResource-limited settingRhamnoseRisk FactorsRoleScientistSeveritiesSmall IntestinesStandardizationStructureSystemTimeTissuesTrainingTranslational ResearchUniversitiesValidationVillousVillous AtrophyVirginiaVisualWorkabsorptioncareercareer developmentcirculating biomarkersclinical phenotypecohortdeep learningdiagnostic algorithmdietarydisorder controleffective interventioneffective therapyenteric pathogenepithelium regenerationgenetic risk factorimaging approachimprovedintraepitheliallow and middle-income countriesmicrobiomemortalitymultiple omicsnovelnovel markernovel therapeuticsnutrient absorptionnutritionoral vaccinepatient orientedsocioeconomicssystemic inflammatory responsetissue injurytranscriptomeurinaryvaccine immunogenicity
项目摘要
PROJECT SUMMARY/ABSTRACT
Undernutrition afflicts 20% of children < 5 years of age in low- and middle-income countries (LMICs) and is a
major risk factor for mortality. Linear growth failure (or stunting) in children is tightly linked to irreversible
physical and cognitive deficits, with profound implications for development. A common cause of stunting in
LMICs is Environmental Enteropathy (EE) which has also been linked to decreased oral vaccine
immunogenicity. To date, there are no universally accepted, clear diagnostic algorithms or non-invasive
biomarkers for EE making this a critical priority. In this K23 Mentored Career Development Award application,
Dr. Sana Syed, a Pediatric Gastroenterologist with advanced training in Nutrition at the University of Virginia,
proposes to 1) Develop and validate a Deep Learning Net to identify morphological features of EE versus
celiac and healthy small intestinal tissue, 2) correlate the Deep Learning Net identified distinguishing EE
intestinal tissue findings with clinical phenotype, measures of gut barrier and absorption, and bile acid
deconjugation, and 3) Use a Deep Learning Net computational approach to identify distinguishing multiomic
patterns of EE versus celiac disease. This work will be carried out in the context of an ongoing birth cohort
study of environmental enteropathy in Pakistan (SEEM). Dr. Syed proposes a career development plan which
includes mentorship, fieldwork, coursework, publications, and clinical time that will situate her as an
independent physician-scientist with expertise in translational research employing computational `omics and
image approaches to elucidate biologic mechanisms of stunting pathways and in identification of novel and
effective therapies for EE.
项目摘要/摘要
在低收入和中等收入国家(LMIC)的儿童中,营养不良遭受了20%的儿童
死亡率的主要风险因素。儿童的线性生长失败(或发育迟缓)与不可逆
身体和认知缺陷,对发展具有深远的影响。发育迟缓的常见原因
LMIC是环境肠病(EE),它也与口服疫苗减少有关
免疫原性。迄今为止,还没有普遍接受的,清晰的诊断算法或无创的
EE的生物标志物将其成为关键的优先事项。在这个K23指导的职业发展奖应用程序中,
Sana Syed博士,儿科胃肠病学家,在弗吉尼亚大学接受营养高级培训,
提议1)开发和验证深度学习网络以识别EE与EE的形态特征
乳糜泻和健康的小肠组织,2)与鉴定EE的深度学习网络相关
具有临床表型的肠道组织发现,肠道屏障和吸收的度量以及胆汁酸
deconjugation和3)使用深度学习的净计算方法来识别区分多组分
EE与腹腔疾病的模式。这项工作将在正在进行的出生队列的背景下进行
巴基斯坦环境肠病的研究(See)。 Syed博士提出了一项职业发展计划
包括指导,实地调查,课程工作,出版物和临床时间,将她作为一个
独立医师科学家在翻译研究方面具有专业知识,采用计算`omics和omics和
图像方法阐明了发育途径的生物学机制以及新颖和新颖的鉴定
EE的有效疗法。
项目成果
期刊论文数量(25)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Ten simple rules for engaging with artificial intelligence in biomedicine.
- DOI:10.1371/journal.pcbi.1008531
- 发表时间:2021-03
- 期刊:
- 影响因子:4.3
- 作者:Malik A;Patel P;Ehsan L;Guleria S;Hartka T;Adewole S;Syed S
- 通讯作者:Syed S
Diagnosis of Celiac Disease and Environmental Enteropathy on Biopsy Images Using Color Balancing on Convolutional Neural Networks.
- DOI:10.1007/978-3-030-32520-6_55
- 发表时间:2020
- 期刊:
- 影响因子:0
- 作者:Kowsari K;Sali R;Khan MN;Adorno W;Ali SA;Moore SR;Amadi BC;Kelly P;Syed S;Brown DE
- 通讯作者:Brown DE
Deep Learning for Whole-Slide Tissue Histopathology Classification: A Comparative Study in the Identification of Dysplastic and Non-Dysplastic Barrett's Esophagus.
- DOI:10.3390/jpm10040141
- 发表时间:2020-09-23
- 期刊:
- 影响因子:0
- 作者:Sali R;Moradinasab N;Guleria S;Ehsan L;Fernandes P;Shah TU;Syed S;Brown DE
- 通讯作者:Brown DE
Advancing Eosinophilic Esophagitis Diagnosis and Phenotype Assessment with Deep Learning Computer Vision.
- DOI:10.5220/0010241900440055
- 发表时间:2021-03
- 期刊:
- 影响因子:0
- 作者:Adorno W 3rd;Catalano A;Ehsan L;Vitzhum von Eckstaedt H;Barnes B;McGowan E;Syed S;Brown DE
- 通讯作者:Brown DE
CeliacNet: Celiac Disease Severity Diagnosis on Duodenal Histopathological Images Using Deep Residual Networks.
- DOI:10.1109/bibm47256.2019.8983270
- 发表时间:2019-11
- 期刊:
- 影响因子:0
- 作者:Sali R;Ehsan L;Kowsari K;Khan M;Moskaluk CA;Syed S;Brown DE
- 通讯作者:Brown DE
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Sana Syed其他文献
Sana Syed的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Sana Syed', 18)}}的其他基金
Predicting Clinical Phenotypes in Crohn's Disease Using Machine Learning and Single-Cell 'omics
使用机器学习和单细胞组学预测克罗恩病的临床表型
- 批准号:
10586795 - 财政年份:2023
- 资助金额:
$ 19.26万 - 项目类别:
Population-Based Characterization of Metabolic Pathways to Predict Pediatric Crohn's Disease Outcomes
基于人群的代谢途径特征预测儿童克罗恩病结果
- 批准号:
10418965 - 财政年份:2022
- 资助金额:
$ 19.26万 - 项目类别:
Population-Based Characterization of Metabolic Pathways to Predict Pediatric Crohn's Disease Outcomes
基于人群的代谢途径特征预测儿童克罗恩病结果
- 批准号:
10660989 - 财政年份:2022
- 资助金额:
$ 19.26万 - 项目类别:
Computational Characterization of Environmental Enteropathy
环境性肠病的计算表征
- 批准号:
10164762 - 财政年份:2019
- 资助金额:
$ 19.26万 - 项目类别:
Computational Characterization of Environmental Enteropathy
环境性肠病的计算表征
- 批准号:
10413870 - 财政年份:2019
- 资助金额:
$ 19.26万 - 项目类别:
相似国自然基金
时空序列驱动的神经形态视觉目标识别算法研究
- 批准号:61906126
- 批准年份:2019
- 资助金额:24.0 万元
- 项目类别:青年科学基金项目
本体驱动的地址数据空间语义建模与地址匹配方法
- 批准号:41901325
- 批准年份:2019
- 资助金额:22.0 万元
- 项目类别:青年科学基金项目
大容量固态硬盘地址映射表优化设计与访存优化研究
- 批准号:61802133
- 批准年份:2018
- 资助金额:23.0 万元
- 项目类别:青年科学基金项目
IP地址驱动的多径路由及流量传输控制研究
- 批准号:61872252
- 批准年份:2018
- 资助金额:64.0 万元
- 项目类别:面上项目
针对内存攻击对象的内存安全防御技术研究
- 批准号:61802432
- 批准年份:2018
- 资助金额:25.0 万元
- 项目类别:青年科学基金项目
相似海外基金
mHealth OAE: Towards Universal Newborn Hearing Screening in Kenya (mTUNE)
mHealth OAE:迈向肯尼亚全民新生儿听力筛查 (mTUNE)
- 批准号:
10738905 - 财政年份:2023
- 资助金额:
$ 19.26万 - 项目类别:
Improving Age- and Cause-Specific Under-Five Mortality Rates (ACSU5MR) by Systematically Accounting Measurement Errors to Inform Child Survival Decision Making in Low Income Countries
通过系统地核算测量误差来改善特定年龄和特定原因的五岁以下死亡率 (ACSU5MR),为低收入国家的儿童生存决策提供信息
- 批准号:
10585388 - 财政年份:2023
- 资助金额:
$ 19.26万 - 项目类别:
A Sample-to-Answer Point-of-Care Diagnostic for Recently Transfused Sickle Cell Anemia Patients in Low Resource Settings
针对资源匮乏地区最近输血的镰状细胞性贫血患者的从样本到答案的护理点诊断
- 批准号:
10564553 - 财政年份:2023
- 资助金额:
$ 19.26万 - 项目类别:
Elucidating the role of type I interferon signaling and macrophage-derived inflammation in the juvenile host with viral pneumonia
阐明 I 型干扰素信号传导和巨噬细胞衍生炎症在病毒性肺炎幼年宿主中的作用
- 批准号:
10651426 - 财政年份:2023
- 资助金额:
$ 19.26万 - 项目类别:
Re-examining links between screen time, health behaviors, and executive functioning: Validating an objective measure of screen exposure in a sample of young children
重新审视屏幕时间、健康行为和执行功能之间的联系:验证幼儿样本中屏幕暴露时间的客观测量
- 批准号:
10725847 - 财政年份:2023
- 资助金额:
$ 19.26万 - 项目类别: