Research
MHFP Updates & News
Published Basic Science Research
How We Predict and Improve Shunt Outcomes?
Cerebrospinal fluid shunt failure in patients with hydrocephalus is a complex process. This study aims to use the MHFP database to evaluate various factors that regulate shunt outcomes.
Hydrocephalus: Can Intracranial Compliance Predict Clinical Oscillations?
The impact of this study can gain insight into the quantitative evaluation of material property and relaxation behavior of brain tissue and their relationships with diagnosis, prognosis, and management of hydrocephalus patients.
Special Considerations in Pediatric Endoscopic Skull Base Surgery
Originally pioneered in adults, endoscopic endonasal approaches for skull base pathology are being increasingly applied as a minimally invasive alternative for young children.
Questions to Solve When Blood, Brain & Cerebrospinal Fluid Interact
This study tries to understand the interaction of cerebral blood and cerebrospinal fluid with brain tissue to alleviate the pathophysiological ambiguities in cerebrospinal fluid dyscrasia.
Meet the MHFP Clinical Research Consortium
Published Clinical Research
Perioperative Complications Following Spine Surgery in Adult Patients with Achondroplasia
Skeletal dysplasias, or osteochondroplasias, encompass hundreds of disorders which affect the growth, development, and maturity of bone and cartilaginous structures. The most common of these is achondroplasia which occurs in around 1/25,000 births.
Skull Base Drilling: How Coolants Can Reduce Thermal & Physical Damage?
This project studies novel gas coolants to decrease the risk of thermal death in cells of the skull, blood coagulation, adjacent nerves injury, physical bone damage and micro-fractures during skull base drilling.
MEET DR. SEIF GHOLAMPOUR
Research Professional, MHFP (Basic Science Research)
Dr. Seif Gholampour is a professional researcher for the MHFP at the Univ. of Chicago. He has over 14 years of research experience in Biomedical Modeling of CNS Disorders, Machine and Deep Learning in CSF Anomalies, Neuroinformatics, Image Processing in Neuroimaging, Image-based AI, Cerebral Blood Hemodynamics, CSF Hydrodynamics, and Image-based Computational Fluid Dynamics and Fluid-Structure Interaction Simulations in Neuroscience. His current projects focus on the diagnosis and evaluation of treatment options in CNS disorders using AI.
MEET JESSE HUANG
Clinical Research Analyst, MHFP (Clinical Research)
Jesse recently graduated from the Johns Hopkins University, where he earned dual degrees in Biophysics and Applied Math & Statistics. During his studies, Jesse also worked as a research assistant focusing on neurodegenerative diseases at the Johns Hopkins Medical Institute, where he developed an interest in medicine involving the brain. Currently, he hopes to be able to explore the field of neurosurgery through clinical research at the Margaret Hackett Family Program and plans on applying to medical school in the near future.