权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Leveraging Neural Imaging for Automated Neonatal Infection Diagnosis

利用神经成像进行新生儿感染自动化诊断

基本信息

批准号：
10311030
负责人：
Mallory Rose Peterson
金额：
$ 3.28万
依托单位：
PENNSYLVANIA STATE UNIV HERSHEY MED CTR
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-09-01 至 2024-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10311030
关键词：
Africa Africa South of the Sahara Anti-Bacterial Agents Antiviral Agents Artificial Intelligence Blood Blood specimen Brain Caregivers Cauterize Central Nervous System Infections Cephalic Cerebrospinal Fluid Cessation of life Characteristics Childhood Classification Clinical Cognitive Communicable Diseases Coupled DNA sequencing Data Development Diagnosis Diagnostic Disease Management Doctor of Philosophy Endocrine Engineering Environment Evaluation Failure Functional disorder Goals Gold Growth Head Healthcare Systems Home Human Resources Hydrocephalus Image Image Analysis Imagery Imaging Techniques Infant Infection Infectious Agent Institution Laboratories Lead Learning Machine Learning Mentorship Microbiology Monitor Nature Neonatal Nervous system structure Neuraxis Operative Surgical Procedures Output Pathogenicity Pathologic Patients Pattern Phenotype Physicians Play Prevention Procedures Protocols documentation Recommendation Research Resources Sampling Scientist Secondary to Sepsis Shunt Device Spinal Puncture Structure of choroid plexus Survivors Technology Time Training Translational Research Uganda Ultrasonography Ventriculostomy Work X-Ray Computed Tomography base cerebrospinal fluid flow cohesion cohort design diagnosis standard diagnostic technologies disease classification genome sequencing hands-on learning improved innovation intelligent algorithm interest machine learning algorithm mortality neonatal infection neonatal sepsis neonate neurosurgery non-invasive imaging optimal treatments pathogen prevent programs relating to nervous system septic success supervised learning targeted treatment transcriptome sequencing treatment planning treatment strategy

项目摘要

PROJECT SUMMARY/ABSTRACT Post-infectious hydrocephalus (PIH) is a leading cause of neonate mortality in the developing world, but there are limited resources in place for appropriately diagnosing and monitoring the infections that lead to hydrocephalus. There is often a lack of personnel and laboratory resources available for the gathering and processing of lumbar puncture and blood cultures, which are the gold-standard for diagnosing the infectious agents at play in sepsis and PIH. In order to overcome this obstacle, CSF and blood samples were taken from a cohort of septic neonates in Mbale, Uganda, as well as a cohort of neonates and infants who had already progressed to PIH. Cranial ultrasounds (CrUS) were taken from the cohort of septic neonates, and head CT scans were gathered from the PIH cohort. This proposal hypothesizes that the pathogens determined from RNA and DNA sequencing of the blood and CSF samples can be used to train supervised machine learning algorithms to recognize imaging phenotypes characteristic of the underlying pathogen. Therefore, PIH can be prevented by providing pathogen-specific diagnosis and targeted treatment recommendations at the bedside for septic neonates using CrUS. Furthermore, surgical treatment success for PIH can be optimized using CT for the purpose of identifying the underlying pathogen and providing management plan recommendations. This project provides an ideal training environment for a fellow interested in pediatric neurosurgery with a research emphasis on engineering and machine learning applied to image analysis. The interdisciplinary and global nature of the project encourages development of a collaborative and innovative research approach. The home institution of Penn State provides multiple clinical opportunities for growth in pediatric neurosurgery, the MD/PhD program is supportive of truly translational research efforts, and the sponsor and co-sponsor are more than adequately prepared to provide all aspects of training mentorship necessary to accomplish the aims of this project and develop a well-rounded physician-scientist.

项目总结/文摘