[HTML][HTML] Toxicity of carboplatin-niosomal nanoparticles in a brain cancer cell line

M Abbasi, R Reihanisaransari, F Poustchi… - Asian Pacific journal …, 2023 - ncbi.nlm.nih.gov
Objective: Cancer poses a significant challenge in modern medicine, standing as the
primary cause of death in many countries, second only to cardiovascular diseases. Among …

Oral cancer and HPV

Z Pirmoradi, K Nazari, N Shafiee, N Nikoukar… - Asian Pacific Journal of …, 2024 - waocp.com
Overview: Oral cancer poses a significant global health challenge, with approximately
300,000 new cases reported annually. Human papillomavirus (HPV) has emerged as a …

Investigating the properties and cytotoxicity of cisplatin-loaded nano-polybutylcyanoacrylate on breast cancer cells

A Gorgzadeh, A Hheidari, P Ghanbarikondori… - Asian Pacific Journal of …, 2023 - waocp.com
Background: This study aimed to develop a novel drug formulation using
polybutylcyanoacrylate (PBCA) nanoparticles to deliver cisplatin, a commonly used …

Non-invasive fractional flow reserve estimation using deep learning on intermediate left anterior descending coronary artery lesion angiography images

F Arefinia, M Aria, R Rabiei, A Hosseini, A Ghaemian… - Scientific Reports, 2024 - nature.com
This study aimed to design an end-to-end deep learning model for estimating the value of
fractional flow reserve (FFR) using angiography images to classify left anterior descending …

Application of machine learning in breast cancer survival prediction using a multimethod approach

SZ Hamedi, H Emami, M Khayamzadeh, R Rabiei… - Scientific Reports, 2024 - nature.com
Breast cancer is one of the most prevalent cancers with an increasing trend in both
incidence and mortality rates in Iran. Survival analysis is a pivotal measure in setting …

Feature-weight and cluster-weight learning in fuzzy c-means method for semi-supervised clustering

AG Oskouei, N Samadi, J Tanha - Applied Soft Computing, 2024 - Elsevier
Semi-supervised clustering aims to guide the clustering by utilizing auxiliary information
about the class labels. Among the semi-supervised clustering categories, the constraint …

[HTML][HTML] Predicting Factors Affecting Lymph Node Involvement in Breast Cancer Using Random Forest Approaches

F Zamaninasab, A Fendereski… - International Journal of …, 2024 - brieflands.com
Objectives: The objective of this study was to utilize random forest methodology to develop a
practical diagnostic function for predicting lymph node metastasis in patients diagnosed with …

Feature-weight and cluster-weight learning in fuzzy c-means method for semi-supervised clustering▪

A Golzari Oskouei, N Samadi, J Tanha - 2024 - dl.acm.org
Semi-supervised clustering aims to guide the clustering by utilizing auxiliary information
about the class labels. Among the semi-supervised clustering categories, the constraint …

[HTML][HTML] New Classification of Tumor Microvessels and the Risk of Regional Metastasis in Squamous Cell and Glandular Cancers

M Senchukova - American Journal of Clinical and Experimental …, 2024 - ajnsci.org
Previously, we proposed a new classification of tumor microvessels (MVs) on the basis of
their morphological features and clinical significance. The aim of this study was to …

[HTML][HTML] Perivascular Invasion: A Promising Prognostic Parameter for Breast Cancer

BÇ Gürbüz, TS Akkurt, E Handan… - Medeniyet Medical …, 2024 - pmc.ncbi.nlm.nih.gov
Objective Angiotropism/perivascular invasion (PVI) is an emerging topic in various types of
cancer, with studies primarily focusing on melanoma. However, limited data are available on …