Machine learning methods for cancer classification using gene expression data: A review
F Alharbi, A Vakanski - Bioengineering, 2023 - mdpi.com
Cancer is a term that denotes a group of diseases caused by the abnormal growth of cells
that can spread in different parts of the body. According to the World Health Organization …
that can spread in different parts of the body. According to the World Health Organization …
Progress on the pathological tissue microenvironment barrier-modulated nanomedicine
H Han, L **, D Hu, S Afoakwa… - Egyptian Informatics …, 2023 - Elsevier
Abstract The physics of Terahertz (THz) technology is the electromagnetic (EM) spectrum
band between the infrared and the microwave band with frequencies of about 0.1 to 30 THz …
band between the infrared and the microwave band with frequencies of about 0.1 to 30 THz …
Magnetic Resonance Imaging-Based Radiogenomic Analysis Reveals Genomic Determinants for Nanoparticle Delivery into Tumors
D Liu, N Lu, F Zang, M Lu, J Zhang, Y Zhao, H Wan… - ACS …, 2024 - ACS Publications
Even though the enhanced permeability and retention (EPR) effect is applicable for the
passive targeting of solid tumors, many nanodrugs have failed to achieve meaningful clinical …
passive targeting of solid tumors, many nanodrugs have failed to achieve meaningful clinical …
MRI as a biomarker for breast cancer diagnosis and prognosis
F Galati, V Rizzo, RM Trimboli, E Kripa… - BJR| Open, 2022 - academic.oup.com
Breast cancer (BC) is the most frequently diagnosed female invasive cancer in Western
countries and the leading cause of cancer-related death worldwide. Nowadays, tumor …
countries and the leading cause of cancer-related death worldwide. Nowadays, tumor …
Graph neural networks in EEG spike detection
AH Mohammed, M Cabrerizo, A Pinzon, I Yaylali… - Artificial Intelligence in …, 2023 - Elsevier
Objective: This study develops new machine learning architectures that are more adept at
detecting interictal epileptiform discharges (IEDs) in scalp EEG. A comparison of results …
detecting interictal epileptiform discharges (IEDs) in scalp EEG. A comparison of results …