Index Catalog // Hyrax

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Filtern nach: Study Program Neurosciences Study Program (NSS) Year 2024

Synergizing hyperthermia and immunotherapy in intracranial tumors

Beschreibung:	Laser interstitial thermal therapy (LITT) is an emerging modality for hyperthermic ablation of brain tumors. Hyperthermia-induced tumor coagulative necrosis may serve as a source of neoantigen for T-cell priming and a subsequent anti-tumor immune...
Datum erstellt:	August 1-2, 2024

Glioma Imaging Predicts Underlying Genetic Mutations: A Multicenter Study

Beschreibung:	Background: Gliomas are the most common malignant primary brain tumor. Genomic characterization is necessary for diagnosis and treatment decisions, for which the brain is biopsied and can lead to delays in care, morbidity, and mortality. Here, we...
Datum erstellt:	August 1-2, 2024

Gait Analysis for the Quantification of Neuropathic Foot Pain: A Step in the Right Direction

Beschreibung:	Evaluation of pain often relies on subjective patient reported outcomes (PROs) such as the Brief Pain Inventory. Supplementing such measures with objective endpoints can provide a deeper assessment of acute and chronic pain. In the present study,...
Datum erstellt:	August 1-2, 2024

Exploring the Uneven Distribution of ALS in North Carolina using an Electronic Medical Record Tool

Beschreibung:	Background: The distribution of amyotrophic lateral sclerosis (ALS) across the world appears to be uneven, which may in part be explained by environmental factors. β-methylamino-L-alanine (BMAA), a neurotoxin produced by cyanobacteria, and...
Datum erstellt:	August 1-2, 2024

Navigating uncertainty and mental health in pregnancy in patients with multiple sclerosis: a qualitative study

Beschreibung:	Background: Multiple sclerosis (MS) is more prevalent in female patients and is frequently diagnosed during reproductive years. Patients with multiple sclerosis (PwMS) have a decreased risk of relapse during pregnancy and this risk increases...
Datum erstellt:	August 1-2, 2024

Retrospective Development and Validation of a Machine Learning Tool to Predict Patient Outcomes of Chronic Lower Back Pain

Beschreibung:	Background: Chronic lower back pain (LBP) is a leading cause of disability and economic burden worldwide. Despite numerous treatment modalities, patient outcomes remain poor. Identifying the correct treatment for a given patient remains presenting...
Datum erstellt:	August 1-2, 2024