Enzymatically degradable hydrogels also have been utilized for targeted drug delivery since the concentration of enzyme is dependent upon cell and tissue types, enabling local triggered drug release.
Various types of viruses, such as adenovirus, adeno-associated virus, and bacteriophages, have been utilized for targeted cancer therapy and imaging through genetic and chemical modifications of the virus [ 173– 175].
Both synthetic and natural nanoparticles such as polymeric conjugates, liposomes, micelles, and polymeric nanoparticles, and synthetic organic nanoparticles such as carbon nanotubes, polyhydroxylated fullerenes, dendrimers, inorganic nanoparticles of gold, silver and iron oxide, quantum dots, viral capsids and ferritin have been utilized for targeting angiogenesis.
In order to address the issue of systemic toxicities, our prior research has focused on the development of a micro particle (1 – 3 μm diameter) that can be utilized for targeted drug delivery due to its porous nature [11].
This aggregation is being utilized for targeting systemically delivered ELP drug conjugates to heated tumors.
It is conceivable that anti-EpCAM-conjugated nanoparticles loaded with cancer drugs could be utilized for targeting CTCs of epithelial state in blood.
Impedance spectroscopy (IPS) is also being utilized for target analyte detection where the increase in radius of semi-circle in Nyquist plot reflects the presence of target molecules.
We speculate that TPC2 downregulation during early neural differentiation of ES cells facilitates the fusion between autophagosome and lysosome, thereby enabling faster energy recycling to be utilized for target differentiation.
This phenomenon, known as the enhanced permeability and retention (EPR) effect, has been utilized for passive targeting of nanoparticles to tumor tissue, but deeper penetration into the tumor is frequently restricted due to heterogeneity of the tumor microenvironment [46].
One of the commonly used neural networks is the radial basis function (RBF) network [21 25], which has been utilized for sea clutter modeling and target detection in the last two decades [26 28].
