Neurology & Neurosurgery
A Legacy of Mild TBI & Impacted Cognitive Function for Military Personnel
Researchers examine the potential lingering effects of blast-induced neurotrauma on active service members and veterans.
A New Tool For Measuring Stroke Rehabilitation
A sensor-based, machine learning platform aims to improve the rigor and effectiveness of rehabilitation therapy.
Neurological Impacts of Long COVID: Finding Pathways Toward Treatment
NYU Langone is one of 10 databank sites seeking to help researchers find the root cause of lingering symptoms.
Unraveling Glial Contributions to Alzheimer’s Disease
New research homes in on transcriptomic differences in astrocytes and oligodendrocytes.
Biomarkers of Neurodegeneration Elevated in Patients with Severe COVID-19
Study finds some biomarkers exceed levels found in patients with Alzheimer’s disease.
Building Implantable Tech for Real-Time Seizure Data
BRAIN Initiative award supports further development with a clinical trial planned.
NYU Langone Health:
A Leader in Neurology & Neurosurgery
in Neurology & Neurosurgery
funding for Neurosurgery clinical trials
for NIH funding in neurology (Blue Ridge)
Complex Case Spotlight
Revolutionizing Brain Tumor Diagnosis
Leveraging Optics and Artificial Intelligence (AI)
A new technology that combines AI with advanced optical imaging provides accurate, near real-time intraoperative diagnosis of brain tumors.
Daniel A. Orringer, MD, a neurosurgeon, expects the system to transform the conventional workflow for intraoperative histology, streamlining microscopic imaging. It may also make microscopic and genetic data more accessible to surgical teams.
Laser-Based Imaging Technology
During surgery, data are gathered using stimulated Raman histology (SRH), a breakthrough in optics that provides rapid, label-free, submicrometer-resolution images of unprocessed biologic tissues.
Advances in fiber-laser technology enable SRH images to be used in concert with intraoperative MRI and fluorescence-guided surgery to provide precision guidance.
Deep Convolutional Neural Networks
Using AI algorithms, deep convolutional neural networks (CNNs) apply trainable feature extractors, which provide a learned and optimized hierarchy of image features for classification. Dr. Orringer and his team have developed a way to use CNNs to facilitate brain tumor diagnosis during surgery. Working in parallel, SRH imaging and deep CNNs predict diagnosis at the bedside.
AI algorithms currently under development may hold promise in predicting prognosis and treatment response based on a tumor’s genetic classification.
In addition, clinical trials for brain lesions increasingly incorporate an intraoperative component. Patients could potentially receive an investigational drug during surgery, Dr. Orringer says, driven by advances in AI-based diagnosis. READ THE FULL ARTICLE
CME, Symposia & Events
NYU Langone Neurosurgery Update: A One-Day Symposium
December 2, 2022
NYU Langone Health, 550 First Avenue, Alumni Hall
7:00 AM – 5:00 PM ET
The spectrum of neurosurgery includes cranial, spinal, and peripheral nerve disorders related to vascular disease, brain tumors, pain, and movement, as well as behavioral disorders, epilepsy, and trauma. This one-day program will address significant clinical problems for which there may be clinical equipoise on available options, or for which current science does not provide solutions based on high-level medical evidence.Register Now
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