Topological network analysis of patient similarity for precision management of acute blood pressure in spinal cord injury
Abstract
Predicting neurological recovery after spinal cord injury (SCI) is challenging. Using topological data analysis, we have previously shown that mean arterial pressure (MAP) during SCI surgery predicts long-term functional recovery in rodent models, motivating the present multicenter study in patients.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Nov 16, 2021
- Source ID
- 10.7554/elife.68015
Entities
People
- Abel Torres-Espín
- Adam R. Ferguson
- Austin Chou
- Benjamin Dirlikov
- Carlos A Almeida
- Catherine G Suen
- Debra D. Hemmerle
- Dmitriy Morozov
- Dolores Torres
- Geoffrey T. Manley
- J Russell Huie
- Jacqueline C. Bresnahan
- Jason F. Talbott
- Jenny Haefeli
- Jessica L. Nielson
- Jonathan Pan
- Michael S Beattie
- Nicole Sanderson
- Nikolaos Kyritsis
- Reza Ehsanian
- Sanjay S. Dhall
- Stephen L. Mckenna
- The Track-sci Investigators
- William D. Whetstone
Organizations
- Craig H Neilsen Foundation
- Foundation for Anesthesia Education and Research
- Lawrence Berkeley National Laboratory
- National Institute of Neurological Disorders and Stroke
- Santa Clara Valley Medical Center
- Stanford University
- United States Department of Defense
- United States Department of Energy
- United States Department of Veterans Affairs
- University of California, San Francisco
- University of Minnesota
- University of New Mexico
- Wings for Life