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The basic mechanisms underlying comprehension of spoken language are still largely unknown. Over the past decade, the study team has gained new insights to how the human brain extracts the most fundamental linguistic elements (consonants and vowels) from a complex and highly variable acoustic signal. However, the next set of questions await pertaining to the sequencing of those auditory elements and how they are integrated with other features, such as, the amplitude envelope of speech. Further investigation of the cortical representation of speech sounds can likely shed light on these fundamental questions. Previous research has implicated the superior temporal cortex in...
The goal-concordant care lab will develop and test strategies to optimize communication in advanced serious illness.
The purpose of the study is to use a new method of high-density electroencephalogram (HD-EEG) recording to map brain areas important for movement, sensation, language, emotion, and cognition.
An open-label, single institutional phase II trial of losartan in patients with primary and metastatic brain tumors with an individual stepped-wedge, randomized, assessor-blinded, dose-finding design on three indications.
This study aims to treat patients who have been diagnosed with brain cancer glioblastoma multiforme (GBM) including diffuse intrinsic pontine glioma (DIPG) and diffuse midline glioma (DMG). The treatment combines two different approaches to fight cancer: immune modulators and antigen-specific T cells. Immune checkpoint antibodies have been tested on various tumors with good outcomes. GBM is known to express increased levels of certain antigens that can be targeted by T cells including chimeric antigen receptor-modified T (CAR-T) cells and tumor antigen specific cytotoxic lymphocytes (CTLs). In this study, the gene-modified T cells specific for GBM antigens will be combined with...
The goal of this observational study is to provide accurate and systematic data on the site of origin and growth pattern of medulloblastoma from a neurosurgical perspective. By integrating intraoperative, radiological and genetic classification data, this study will contribute to our current understanding of the development, site of origin and growth pattern of medulloblastoma and advance the predictive accuracy of radiogenomics models. Patients with histologically confirmed medulloblastoma who undergo surgical resection at a high-volume center with expertise in pediatric neurosurgery will be included. The main questions it aims to answer are: - Is there a significant...
This is a single-arm open-label phase 1 dose escalation/expansion trial assessing the safety and efficacy of concurrent intrathecal azacitidine and intrathecal nivolumab in recurrent high-grade glioma.
The goal of this multi-center clinical trial is to evaluate the effectiveness of MRI-based computer-aided diagnosis software (V1) for glioma segmentation, gene prediction, and tumor grading. Machine learning methods such as high-precision tumor segmentation and classification and discrimination modeling can further optimize the non-invasive molecular diagnosis and prognosis prediction. The main question it aims to answer is whether the software can predict the molecular type and the prognosis quickly and correctly. The results will be compared with the real-world clinical data double-blindly. Finally, form a set of user-friendly automatic glioma diagnosis and treatment systems for...
Sarcopenia's role in early-onset colorectal cancer (EOCRC), a subtype increasingly diagnosed in individuals under 50 years, has not yet been investigated according to recent literature. Understanding the prevalence and prognostic impact of sarcopenia in EOCRC could inform tailored therapeutic approaches and improve patient outcomes.
This is a study putting together large numbers of patients with or without a hereditary risk of adrenal tumours including tumours such as adrenocortical carcinoma and phaeochromocytoma/paraganglioma. The purpose is to answer questions about the survival of patients with these rare tumours and to do this, we will collect information on diagnosis and management of these tumours. This data will be best assessed by combing these rare cases at a national level recruiting from centres throughout UK and Ireland. The information will be confidential and stored in a secure platform. Patients will be approached for consent to gather their data by their local consultants and patients will...
