Glioma radiogenomics and artificial intelligence: road to precision cancer medicine
A Mahajan, A Sahu, R Ashtekar, T Kulkarni, S Shukla… - Clinical radiology, 2023 - Elsevier
Radiogenomics refers to the study of the relationship between imaging phenotypes and
gene expression patterns/molecular characteristics, which might allow improved diagnosis …
gene expression patterns/molecular characteristics, which might allow improved diagnosis …
Preoperative Discrimination of CDKN2A/B Homozygous Deletion Status in Isocitrate Dehydrogenase‐Mutant Astrocytoma: A Deep Learning‐Based Radiomics Model …
J Gao, Z Liu, H Pan, X Cao, Y Kan… - Journal of Magnetic …, 2024 - Wiley Online Library
Background Cyclin‐dependent kinase inhibitor 2A/B (CDKN2A/B) homozygous deletion has
been verified as an independent and critical biomarker of negative prognosis and short …
been verified as an independent and critical biomarker of negative prognosis and short …
A Comprehensive Review of the Impact of Machine Learning and Omics on Rare Neurological Diseases
N Alganmi - BioMedInformatics, 2024 - mdpi.com
Background: Rare diseases, predominantly caused by genetic factors and often presenting
neurological manifestations, are significantly underrepresented in research. This review …
neurological manifestations, are significantly underrepresented in research. This review …
Measurement of Patient-Derived Glioblastoma Cell Response to Temozolomide Using Fluorescence Lifetime Imaging of NAD (P) H
DV Yuzhakova, DA Sachkova, MV Shirmanova… - Pharmaceuticals, 2023 - mdpi.com
Personalized strategies in glioblastoma treatment are highly necessary. One of the possible
approaches is drug screening using patient-derived tumor cells. However, this requires …
approaches is drug screening using patient-derived tumor cells. However, this requires …
[HTML][HTML] Multimodal MRI-based radiomic nomogram for predicting telomerase reverse transcriptase promoter mutation in IDH-wildtype histological lower-grade …
X Huo, Y Wang, S Ma, S Zhu, K Wang, Q Ji, F Chen… - Medicine, 2023 - journals.lww.com
The presence of TERTp mutation in isocitrate dehydrogenase-wildtype (IDHwt) histologically
lower-grade glioma (LGA) has been linked to a poor prognosis. In this study, we aimed to …
lower-grade glioma (LGA) has been linked to a poor prognosis. In this study, we aimed to …
[HTML][HTML] Deep learning based automated epidermal growth factor receptor and anaplastic lymphoma kinase status prediction of brain metastasis in non-small cell lung …
A Mahajan, B Gurukrishna, S Wadhwa… - … of Targeted Anti …, 2023 - ncbi.nlm.nih.gov
Aim: The aim of this study was to investigate the feasibility of developing a deep learning
(DL) algorithm for classifying brain metastases from non-small cell lung cancer (NSCLC) into …
(DL) algorithm for classifying brain metastases from non-small cell lung cancer (NSCLC) into …