Nanomaterial-Based Molecular Imaging in Cancer: Advances in Simulation and AI Integration

Biomolecules, Год журнала: 2025, Номер 15(3), С. 444 - 444

Опубликована: Март 20, 2025

Nanomaterials represent an innovation in cancer imaging by offering enhanced contrast, improved targeting capabilities, and multifunctional modalities. Recent advancements material engineering have enabled the development of nanoparticles tailored for various techniques, including magnetic resonance (MRI), computed tomography (CT), positron emission (PET), ultrasound (US). These nanoscale agents improve sensitivity specificity, enabling early detection precise tumor characterization. Monte Carlo (MC) simulations play a pivotal role optimizing nanomaterial-based modeling their interactions with biological tissues, predicting contrast enhancement, refining dosimetry radiation-based techniques. computational methods provide valuable insights into nanoparticle behavior, aiding design more effective agents. Moreover, artificial intelligence (AI) machine learning (ML) approaches are transforming enhancing image reconstruction, automating segmentation, improving diagnostic accuracy. AI-driven models can also optimize MC-based accelerating data analysis through predictive modeling. This review explores latest imaging, highlighting synergy between nanotechnology, MC simulations, innovations. By integrating these interdisciplinary approaches, future technologies achieve unprecedented precision, paving way diagnostics personalized treatment strategies.

Язык: Английский

Nanostructures: An Efficient Drug Delivery Platform for Therapy of Multiple Myeloma

European Journal of Medicinal Chemistry Reports, Год журнала: 2025, Номер unknown, С. 100263 - 100263

Опубликована: Апрель 1, 2025

Язык: Английский