Abstract

ENRICHMENT PROGRAM ABSTRACT The Enrichment Program will support the overall mission of the Children?s Hospital of Philadelphia?s (CHOP) Pediatric Center of Excellence in Nephrology (PCEN) by implementing educational and collaborative initiatives to promote innovative multidisciplinary research in pediatric kidney disease that will reduce barriers to clinical trials. Initiatives within the Enrichment Program will encourage and support pediatric nephrology research involvement by students and residents, with programs including a Summer Research Internship Program and a Resident Mentored Research Workshop Program. We will strengthen interactions with nephrology T32 programs at CHOP and the University of Pennsylvania (Penn) to increase collaborations between T32 trainees and PCEN investigators. We will also develop several scientific seminars and symposia to foster opportunities for innovative multidisciplinary collaborations ? these will include an annual Joint CHOP-Penn Nephrology Research Seminar, a Visiting Scientist Program, an annual PCEN Investigators Translational Research Retreat, and quarterly PCEN Clinical and Translational Research Workshop. We will also increase engagement with the community and patient interest groups by implementing an annual Pediatric Kidney Disease Symposium in partnership with a kidney disease foundation or advocacy group. This symposium will focus on patient-centered research outcomes and overcoming barriers to recruitment and retention in clinical trials.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Specialized Center (P50)
Project #
1P50DK114786-01
Application #
9380709
Study Section
Special Emphasis Panel (ZDK1)
Project Start
Project End
Budget Start
2017-07-01
Budget End
2018-06-30
Support Year
1
Fiscal Year
2017
Total Cost
Indirect Cost

  Institution

Name
Children's Hospital of Philadelphia
Department
Type
DUNS #
073757627
City
Philadelphia
State
PA
Country
United States
Zip Code
19104

  Publications

Zheng, Qiang; Tasian, Gregory; Fan, Yong (2018) TRANSFER LEARNING FOR DIAGNOSIS OF CONGENITAL ABNORMALITIES OF THE KIDNEY AND URINARY TRACT IN CHILDREN BASED ON ULTRASOUND IMAGING DATA. Proc IEEE Int Symp Biomed Imaging 2018:1487-1490
Zheng, Qiang; Warner, Steven; Tasian, Gregory et al. (2018) A Dynamic Graph Cuts Method with Integrated Multiple Feature Maps for Segmenting Kidneys in 2D Ultrasound Images. Acad Radiol 25:1136-1145
Li, Hongming; Galperin-Aizenberg, Maya; Pryma, Daniel et al. (2018) Unsupervised machine learning of radiomic features for predicting treatment response and overall survival of early stage non-small cell lung cancer patients treated with stereotactic body radiation therapy. Radiother Oncol 129:218-226
Li, Hongming; Zhu, Xiaofeng; Fan, Yong (2018) Identification of Multi-scale Hierarchical Brain Functional Networks Using Deep Matrix Factorization. Med Image Comput Comput Assist Interv 11072:223-231
Li, Hongming; Fan, Yong (2018) Brain Decoding from Functional MRI Using Long Short-Term Memory Recurrent Neural Networks. Med Image Comput Comput Assist Interv 11072:320-328
Li, Hongming; Fan, Yong (2018) Identification of Temporal Transition of Functional States Using Recurrent Neural Networks from Functional MRI. Med Image Comput Comput Assist Interv 11072:232-239
Li, Hongming; Fan, Yong (2018) NON-RIGID IMAGE REGISTRATION USING SELF-SUPERVISED FULLY CONVOLUTIONAL NETWORKS WITHOUT TRAINING DATA. Proc IEEE Int Symp Biomed Imaging 2018:1075-1078
Li, Hongming; Satterthwaite, Theodore D; Fan, Yong (2018) BRAIN AGE PREDICTION BASED ON RESTING-STATE FUNCTIONAL CONNECTIVITY PATTERNS USING CONVOLUTIONAL NEURAL NETWORKS. Proc IEEE Int Symp Biomed Imaging 2018:101-104
Zhu, Xiaofeng; Zhang, Weihong; Fan, Yong et al. (2018) A Robust Reduced Rank Graph Regression Method for Neuroimaging Genetic Analysis. Neuroinformatics 16:351-361