Publications by authors named "Mykhaylo Zayats"
Delta like canonical notch ligand 4 (Dll4) expression levels in tumors are known to affect the efficacy of cancer therapies. This study aimed to develop a model to predict Dll4 expression levels in tumors using dynamic enhanced near-infrared (NIR) imaging with indocyanine green (ICG). Two rat-based consomic xenograft (CXM) strains of breast cancer with different Dll4 expression levels and eight congenic xenograft strains were studied.
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- The study explores how near infrared light sources and the fluorescent dye Indocyanine Green (ICG) can be used to non-invasively measure blood flow (perfusion) in tumors.
- It focuses on the unique ways ICG behaves in cancerous tissues, which have irregular blood vessels compared to healthy tissues.
- By analyzing specific fluorescence data from ICG, researchers developed simple machine learning models that achieved over 95% accuracy in distinguishing between benign and cancerous lesions.