Publications by authors named "Tehnan I A Mohamed"
Article Synopsis
- Lung cancer significantly impacts global mortality, necessitating precise biomarker identification for effective diagnosis and treatment.
- The study presents the Voting-Based Enhanced Binary Ebola Optimization Search Algorithm (VBEOSA), which integrates binary and Ebola optimization techniques to enhance feature selection in lung cancer research.
- Through the analysis of gene expression datasets, the research identifies ten key hub genes and highlights important biological pathways, contributing to a deeper understanding of lung cancer’s molecular mechanisms and potential improvements in diagnostic methods.
Breast cancer is considered one of the significant health challenges and ranks among the most prevalent and dangerous cancer types affecting women globally. Early breast cancer detection and diagnosis are crucial for effective treatment and personalized therapy. Early detection and diagnosis can help patients and physicians discover new treatment options, provide a more suitable quality of life, and ensure increased survival rates.
View Article and Find Full Text PDFRecently, research has shown an increased spread of non-communicable diseases such as cancer. Lung cancer diagnosis and detection has become one of the biggest obstacles in recent years. Early lung cancer diagnosis and detection would reliably promote safety and the survival of many lives globally.
View Article and Find Full Text PDF