International Journal of Body, Mind and Culture
Volume:4 Issue: 2, Summer-Autumn 2017

 Patient education completes value chain process in presenting therapy and care services to patients. Thus, it is necessary to use the latest technologies in patients' education. The present study aims to design an educational software to provide the verified scientific, educational and care data of the patients.

The software is performed in three stages: 1- Formation of databases including the nursing care based on the latest educational and care standards 2- Design an intelligent software to present care education based on nursing process 3- For pilot study, the relevant software is installed on some systems and it is used in at least three hospitals.

The mentioned software presents valuable data in accordance to the needs of patients. Some of the advantages of this software include: Customization of education as their reading is easier; Simplicity of use with software can increase the availability of data for the patients; This software helps the nurses to guide the patients to receive the trainings in each stage of care process. 

 Implementation of intelligent education system of patient reduces the frequency of visit to health centers and unnecessary admissions and this effectiveness cost of this system can save time and energy of disabled patients and increase the efficiency of nurses.

Increment of computing speed, machine learning and human interface, have extended capabilities of artificial intelligence applications to an important stage. It is predicted that use of artificial intelligence (AI) to automate knowledge-based occupations (occupations such as medicine, engineering and law) may have an global enormous economic impact in the near future. Applications based on artificial intelligence are able to improve health and quality of life for millions in the coming years. Although clinical applications of computer science are slow moving to real-world labs, but there are promising signs that the pace of innovation will improve. In the near future AI based applications by automating knowledge-based work in the field of diagnosis and treatment, nursing and health care, robotic surgery and development of new drugs, will have a transformative effect on the health sector. Therefore many artificial intelligence systems should work closely with health providers and patients to gain their trust. The progress of how smart machines naturally will interact with healthcare professionals, patients and patients' families is very important, yet challenging. In this article, we review the future of automation of knowledge enabled by AI work in medicine and healthcare in seven categories including big medical data mining, computer Aided Diagnosis, online consultations, evidence based medicine, health assistance, precision medicine and drug creation. Also challenges of this issue including cultural, organizational, legal and social barriers are described.

Despite of all the efforts and studies conducted on diagnosis and treatment of cancer, this disease still has many of losses annually. Cancer is a multifactorial disease that is incidence of genetic and environmental factors are involved. MicroRNA of (micro ribonucleic acid) group of non-coding RNA that have been preserved during evolution. miRNA also like that mRNA By the enzyme RNA polymerase II transcription and after the capping mechanism and Polyadenylation (Pre-miRNA) obtained that by two cutting successive reactions, mature miRNA produced and through the connection to 3'UTR, mRNA target gene affects on it.

For investigate from the articles in the database such as pubmed, Google Scholar ,.... Were taken to this study we used.

MicroRNA can be alter gene expression after transcription that is action in most cases performed through two way decomposition and or inhibit the translation of target gene mRNA. MIR in various cancers could have role oncogenes and tumor suppressor genes (Tumor suppressor) and also in cell cycle, cell death, apoptosis, differentiation and cell proliferation and drug resistance have an important role and can stop the progression of cancer and Hence as biomarkers for the diagnosis and treatment of cancer are available.

MIR expression in various cancers decreases or increases, which in most cases increase the expression of a MIR cause to reduce expression of a gene targeting and vice versa. Hence further studies about this great group of micro RNA are important and can be investigated.

The exclusive capabilities of Geographical Information System (GIS) cab be distinguished in combining diverse and very different information sources, in real-time storage and retrieval of descriptive and local information, in evaluation and analysis of time trend of incidents in form of statistical and spatial modeling and in positional assessment on the effects of development. Above descriptions show that GIS has grown as the most powerful tool for management, decision makings and optimized and rapid access to the information required for the hospitals and ambulance centers. suitable readiness for effective response and rapid reaction to the conditions of the natural disasters like industrial incident and human made incidents, e.g. urban and road accidents is the objectives and responsibilities of hospitals and medical centers. Moreover more than eighty percent of the required information in ambulance centers are positional information or information that are somehow dependent to location. Hence, application of Geographical Information System technology will be very considerable and beneficial for hospitals in order to displaying the location and region coverage and to lead the teams toward the region, to make appropriate decisions in crises and disasters and for emergency management (especially in information related to HSE of industries). Also in the analysis and assessment of hospitals' information and injured that are referred to hospitals, using GIS technology will be improve applications of Information Technology in hospitals and emergency centers in the following fields: -locating new areas for the construction of hospitals in according to the maps and different layers of data, analyzing reserved equipment and facilities for high risk situations, routing in order to provide the most rapid and timely aid, capitation of population of the region in terms of equipment and hospitals' beds, appointing places in danger of crisis and for emergency aid and finally creating patterns of diseases dominance and health problems in the field of hospitals for Planning and decision making based on evidence and documents.

In this paper, the goal of the effort is to determine the future of healthcare and to explain the importance of establishing strategic roadmap in this area. Identification of strategies for future of healthcare includes adaptive and dynamic learning through the industry, governments, and universities. The most important part in generating strategies is to determine the goals with high levels expectations and exclusive path. Healthcare technology goals which are presented in this paper could be inspiring to make a better future. Future developments of medical and health care depend on investing in research, development, and education today. So that health managers achieve goals of the health care system by making appropriate decisions and allocate resources. With appropriate goals and strategies, risk, maturity and reliability level of HIT system could be calculated by using COBIT and best scorecard (BSC) method.

Many researchers in the field of dental polymeric base nano composite investigated the effect filling morphology and filling material content on mechanical and physical properties of construction after setting reaction. Our present study concentrated on the effect of Υ’ metacryloxy propyloxt tri metoxy silane (Υ’ MPS) content as coupling agent (orgnic material) on physical and mechanical performance of nano composite material. It was shown that despite of contraction after setting reaction, all this properties improved and efficient silanization can efficiently affect structural integrity of dental filling nano composite

In this paper, the novel concept of artificial microscopic swarm control systems is proposed as a promising approach towards realization of intelligent medical treatment at nanoscale. In this new paradigm, treatment is done autonomously at nanoscale within the patient's body by the proposed swarm control systems.

From control engineering perspective, medical treatment can be considered as a control problem, in which the ultimate goal is to find the best feasible way to change the state of diseased tissue from unhealthy to healthy in presence of uncertainty. Although a living tissue is a huge swarm of microscopic cells, nearly all of the common treatment methods are based on macroscopic centralized control paradigm. Inspired by natural microscopic swarm control systems such as nervous, endocrine and immune systems that work based on swarm control paradigm, medical treatment needs a paradigm shift from macroscopic centralized control to microscopic swarm control. An artificial microscopic swarm control system consists of a huge number of very simple autonomous microscopic agents that exploit swarm intelligence to realize sense, control (computing) and actuation at nanoscale in local, distributed and decentralized manner. This control system can be designed based on mathematical analysis and computer simulation.

The proposed approach is used for treatment of atherosclerosis and cancer based on mathematical analysis and in-silico study.

The notion of artificial microscopic swarm control systems opens new doors towards realization of autonomous and intelligent medical treatment at nanoscale within the patient's body.