The Relationship between Intelligent Image Simulation and Recognition Technology and the Health Literacy and Quality of Life of the Elderly.

In order to explore the relationship between intelligent image recognition technology and the mentality and quality of life of the elderly, this paper combines intelligent image simulation technology to identify the behavior of the elderly, protect the safety of the elderly, and provide timely feedback on the adverse conditions of the elderly. Moreover, this paper improves the traditional intelligent image recognition algorithm, verifies the research method of this paper through experimental research, and puts forward corresponding suggestions. Through investigation and research, we can see that the level of health literacy of elderly patients with chronic diseases is low.

Exosomes derived from mesenchymal stem cells attenuate the progression of atherosclerosis in ApoE mice via miR-let7 mediated infiltration and polarization of M2 macrophage.

Atherosclerosis is a chronic inflammatory disease of the vasculature. Exosomes derived from mesenchymal stem cells (MSCs) exert immunomodulatory and immunosuppressive effects; however, the MSCs-exosomes administration on atherosclerosis was unknown. Here, our ApoE mice were fed a high-fat diet and received intravenous injections of exosomes from MSCs for 12 weeks.