Recent results on the development and implementation of a novel technology for lung tumor detection and imaging is presented. This technology offers high-sensitivity imaging of magnetic nanoparticles to provide specific diagnostic images of early lung tumors and potential distant metastases. Recent developments in giant magnetostrictive (GMS) or magnetic shape memory (MSM) materials have led to the possibility of developing small, low-cost, room-temperature, portable, high-sensitivity, fiber-optic sensors capable of robustly detecting magnetic nanoparticles, without direct contact with the skin. Magnetic nanoparticles are conjugated with antibodies, which target them to lung tumors.
A prototype fiber-optic biomagnetic sensor, based on giant magnetostrictive or magnetic shape memory materials, with the requisite sensitivity to image the magnetic signals generated by antibody-labeled magnetic nanoparticles in lung tumors has been built and calibrated. The uniqueness of the biomagnetic sensor lies in the fact that it offers high sensitivity at room temperature, and is not a SQUID-based system. The results obtained during the process of choosing the right magnetostrictive materials are presented. Then, for the construction of an accurate image of the lung tumor, the optimum spatial distribution of one-channel sensors and nanoparticle polarization has been analyzed.
A novel electronic device capable of sensing and monitoring the myoelectric, polarization wave and electromagnetic activities of the biological systems and in particular the human body is presented. It is known that all the physical and chemical processes within biological systems are associated with polarization, depolarization waves from the brain, neural signals and myoelectric processes that manifest themselves in ionic and dipole motion. The technology developed in our laboratory is based on certain charge motion sensitive electronics. The electronic system developed is capable of sensing the electromagnetic activities of biological systems. The information obtained is then processed by specialized software in order to interpret it from physical and chemical point of view.
An analysis of the evolution of intelligence and survival strategy of certain materials is presented in this paper. Materials have been further classified in this paper based on their smartness or intelligence. The criteria used in the analysis involve matter, energy, information, and geometry. Also, a novel perspective on the meaning of intelligence is proposed. Thus, a system is considered to be intelligent if it normally possesses a survival strategy with regards to its state of being. Essentially, new definitions for information and hierarchical structures have been added to the classical matter-energy dualism. The influence of geometry has proved to be very important in the evolution and properties of matter. Based on the characteristics of the living systems a correlation between living and non-living systems has been established. It has also been demonstrated that the geometrical shape of a material structure is determined by its survival strategy. Furthermore, hierarchical structures of intelligent materials have been analyzed from geometrical point of view. This has led to the conclusion that geometry represents a complementary factor in the intelligence of materials.