Epigenetic clocks and gliomas: unveiling the molecular interactions between aging and tumor development
S Chen, Y Jiang, C Wang, S Tong, Y He… - Frontiers in Molecular …, 2024 - frontiersin.org
Gliomas, the most prevalent and aggressive primary brain tumors, represent a diverse group
of malignancies originating from glial cells. These tumors account for significant brain tumor …
of malignancies originating from glial cells. These tumors account for significant brain tumor …
A Critical Review on Segmentation of Glioma Brain Tumor and Prediction of Overall Survival
N Rasool, JI Bhat - Archives of Computational Methods in Engineering, 2024 - Springer
In recent years, the surge in glioma brain tumor cases has positioned it as the 10th most
prevalent tumor affecting individuals across diverse age groups. Gliomas, characterized by …
prevalent tumor affecting individuals across diverse age groups. Gliomas, characterized by …
[HTML][HTML] Reproducible and interpretable machine learning-based radiomic analysis for overall survival prediction in glioblastoma multiforme
Simple Summary This study aimed to develop and validate a radiomic model for predicting
overall survival (OS) in glioblastoma multiforme (GBM) patients using pre-treatment MRI …
overall survival (OS) in glioblastoma multiforme (GBM) patients using pre-treatment MRI …
An Informative Review of Radiomics Studies on Cancer Imaging: The Main Findings, Challenges and Limitations of the Methodologies
The aim of this informative review was to investigate the application of radiomics in cancer
imaging and to summarize the results of recent studies to support oncological imaging with …
imaging and to summarize the results of recent studies to support oncological imaging with …
[HTML][HTML] Radiomics-Based Machine Learning with Natural Gradient Boosting for Continuous Survival Prediction in Glioblastoma
Background: Glioblastoma (GBM) is the most common primary malignant brain tumor in
adults, with an aggressive disease course that requires accurate prognosis for …
adults, with an aggressive disease course that requires accurate prognosis for …
Artificial intelligence in fracture detection on radiographs: a literature review
A Lo Mastro, E Grassi, D Berritto, A Russo… - Japanese Journal of …, 2024 - Springer
Fractures are one of the most common reasons of admission to emergency department
affecting individuals of all ages and regions worldwide that can be misdiagnosed during …
affecting individuals of all ages and regions worldwide that can be misdiagnosed during …
Exploring the prognostic value and biological pathways of transcriptomics and radiomics patterns in glioblastoma multiforme
Objectives To develop a multi-omics prognostic model integrating transcriptomics and
radiomics for predicting overall survival in patients with glioblastoma multiforme (GBM), and …
radiomics for predicting overall survival in patients with glioblastoma multiforme (GBM), and …
Machine Learning and Radiomics Analysis for Tumor Budding Prediction in Colorectal Liver Metastases Magnetic Resonance Imaging Assessment
Purpose: We aimed to assess the efficacy of machine learning and radiomics analysis using
magnetic resonance imaging (MRI) with a hepatospecific contrast agent, in a pre-surgical …
magnetic resonance imaging (MRI) with a hepatospecific contrast agent, in a pre-surgical …
[HTML][HTML] Quantitative Physiologic MRI Combined with Feature Engineering for Developing Machine Learning-Based Prediction Models to Distinguish Glioblastomas …
Background: The accurate and early distinction of glioblastomas (GBMs) from single brain
metastases (BMs) provides a window of opportunity for reframing treatment strategies …
metastases (BMs) provides a window of opportunity for reframing treatment strategies …
Predictive modeling of outcomes in acute leukemia patients undergoing allogeneic hematopoietic stem cell transplantation using machine learning techniques
Background Leukemia necessitates continuous research for effective therapeutic
techniques. Acute leukemia (AL) patients undergoing allogeneic hematopoietic stem cell …
techniques. Acute leukemia (AL) patients undergoing allogeneic hematopoietic stem cell …