- Melanoma and MAPK Pathways
- Veterinary Oncology Research
- Oral and Maxillofacial Pathology
- Colorectal Cancer Screening and Detection
- Infectious Diseases and Mycology
- Gastric Cancer Management and Outcomes
- Computational Drug Discovery Methods
- Beetle Biology and Toxicology Studies
- Radiomics and Machine Learning in Medical Imaging
Motamed Cancer Institute
2024-2025
Tehran University of Medical Sciences
2024-2025
<title>Abstract</title> Background Advancements in the management of gastric cancer (GC) and innovative therapeutic approaches highlight significance role biomarkers GC prognosis. Machine-learning (ML)-based methods can be applied to identify most important predictors unravel their interactions classify patients, which might guide prioritized treatment decisions. Methods A total 140 patients with histopathological confirmed who underwent surgery between 2011 2016 were enrolled study. The...
Advancements in the management of gastric cancer (GC) and innovative therapeutic approaches highlight significance role biomarkers GC prognosis. Machine-learning (ML)-based methods can be applied to identify most important predictors unravel their interactions classify patients, which might guide prioritized treatment decisions. A total 140 patients with histopathological confirmed who underwent surgery between 2011 2016 were enrolled study. The inspired modification partial least squares...
Background: Cutaneous melanoma, the most severe form of skin cancer, has an unpredictable behavior and a high mortality rate. Recent research identified new biomarkers their associations with certain histopathological features, offering essential insights into diagnosis, prognosis, therapeutic strategies. Material method: In this meticulously designed executed study, we analyzed 85 formalin-fixed, paraffin-embedded (FFPE) tissue samples using gold standard technique immunohistochemistry...
Clinical and molecular similarities between canine mammary tumors (CMTs) human breast cancer (HBC) propel scientists to further study their application in comparative oncology as a model for cancer. In total, 64 were selected the most common markers, which are applicable treatment, including estrogen progesterone receptors (ER PR), epidermal growth factor (HER2/neu), Ki67, cyclooxygenase 2 (Cox2). Immunohistochemistry (IHC) was used assess protein expression. The Veterinary Nottingham...