Emerging role of artificial intelligence in diagnosis, classification and clinical management of glioma
Glioma represents a dominant primary intracranial malignancy in the central nervous
system. Artificial intelligence that mainly includes machine learning, and deep learning …
system. Artificial intelligence that mainly includes machine learning, and deep learning …
[HTML][HTML] Radiomics in neuro-oncological clinical trials
The development of clinical trials has led to substantial improvements in the prevention and
treatment of many diseases, including brain cancer. Advances in medicine, such as …
treatment of many diseases, including brain cancer. Advances in medicine, such as …
[HTML][HTML] Clinical effects of immuno-oncology therapy on glioblastoma patients: A systematic review
M Najafi, A Jahanbakhshi, S Finocchi Ghersi… - Brain Sciences, 2023 - mdpi.com
The most prevalent and deadly primary malignant glioma in adults is glioblastoma (GBM),
which has a median survival time of about 15 months. Despite the standard of care for …
which has a median survival time of about 15 months. Despite the standard of care for …
[HTML][HTML] Radiomics for characterization of the glioma immune microenvironment
Increasing evidence suggests that besides mutational and molecular alterations, the
immune component of the tumor microenvironment also substantially impacts tumor …
immune component of the tumor microenvironment also substantially impacts tumor …
Artificial intelligence for predictive biomarker discovery in immuno-oncology: A systematic review
Background The widespread use of Immune checkpoint-inhibitors (ICI) has revolutionised
treatment of multiple cancer types. However, selecting patients who may benefit from ICI …
treatment of multiple cancer types. However, selecting patients who may benefit from ICI …
Artificial intelligence in neuroimaging of brain tumors: reality or still promise?
While there has been significant progress in AI and neuro-oncologic imaging, clinical utility
remains to be demonstrated. The next wave of progress in this area will be driven by …
remains to be demonstrated. The next wave of progress in this area will be driven by …
Combined Immunotherapy Improves Outcome for Replication-Repair-Deficient (RRD) High-Grade Glioma Failing Anti–PD-1 Monotherapy: A Report from the …
Immune checkpoint inhibition (ICI) is effective for replication-repair-deficient, high-grade
gliomas (RRD-HGG). The clinical/biological impact of immune-directed approaches after …
gliomas (RRD-HGG). The clinical/biological impact of immune-directed approaches after …
Prioritization of genes for translation: a computational approach
SC da Silva Rosa, A Barzegar Behrooz… - Expert Review of …, 2024 - Taylor & Francis
Introduction Gene identification for genetic diseases is critical for the development of new
diagnostic approaches and personalized treatment options. Prioritization of gene translation …
diagnostic approaches and personalized treatment options. Prioritization of gene translation …
[HTML][HTML] MRI-derived radiomics assessing tumor-infiltrating macrophages enable prediction of immune-phenotype, immunotherapy response and survival in glioma
D Chen, R Zhang, X Huang, C Ji, W Xia, Y Qi… - Biomarker …, 2024 - Springer
Background The tumor immune microenvironment can influence the prognosis and
treatment response to immunotherapy. We aimed to develop a non-invasive radiomic …
treatment response to immunotherapy. We aimed to develop a non-invasive radiomic …
Imaging Genomics of Glioma Revisited: Analytic Methods to Understand Spatial and Temporal Heterogeneity
CN Kersch, M Kim, J Stoller… - American Journal of …, 2024 - Am Soc Neuroradiology
An improved understanding of the cellular and molecular biologic processes responsible for
brain tumor development, growth, and resistance to therapy is fundamental to improving …
brain tumor development, growth, and resistance to therapy is fundamental to improving …