Abstract： Diseases prognosis is often influenced by multiple factors, and some intricate non-linear relationships exist among those factors. Artificial neural network （ANN）, an artificial intelligence model, simulates the work mode of biological neurons and has a b capability to analyze multi-factor non-linear relationships. In recent years, ANN is increasingly applied in clinical medical fields, especially for the prediction of disease prognosis. This article focuses on the basic principles of ANN and its application in disease prognosis research.
Objective To investigate the behavior of rat calvarial osteoblasts cultured on chitosan-gelatin/hydroxyapatite (CSGel/HA) composite scaffolds. Methods The rat calvarial osteoblasts (the 3rd passage) were seeded at a density of 1.01×106 cells/ml onto the CS-Gel/HA composite scaffolds having porosity 85.20%, 90.40% and 95.80%. Cell number was counted after cultured for 3 days,1 week, 2 weeks and 3 weeks. Cell proliferation, bone-like tissue formation, and mineralization were separately detected by HE, von Kossa histological stainingtechniques. Results The CS-Gel/HA composite scaffolds supported the attachmentof seeded rat calvarial osteoblasts. Cells proliferated faster in scaffold withhigher porosity 90.40% and 95.80% than scaffold with lower porosity 85.20%. The osteoblasts/scaffold constructs were feasible for mineral deposition, and bonelike tissue formation in 3 weeks. Conclusion This study suggests the feasibility of using CS-Gel/HA composite scaffolds for bone tissue engineering.
OBJECTIVE: To study the stimulating effects of basic fibroblast growth factor(bFGF) on fibroblast function and its ability to expression of c-fos gene. Furthermore, to explore the possible network action between bFGF and oncogene in modulating wound healing. METHODS: Cultured rat fibroblasts were divided into bFGF stimulating group and control group. Fibroblasts in bFGF stimulating group were treated with bFGF in a dosage of 40 ng/culture hole, while the control fibroblasts were treated with the same vehicle without bFGF. The morphology, cell vitality and their ability to express c-fos gene in the fibroblasts in both groups were studied with MTT and immunohistochemical methods. RESULTS: All fibroblasts in bFGF treated groups were enlarged and showed increased vitality with MTT method. C-fos gene expression in bFGF stimulating group was increased, especially in nucleus when compared with those in control group. CONCLUSION: The results show that the function and the ability to express c-fos gene in bFGF treated fibroblasts are enhanced. Combined with our previous studies, it may make a conclusion that there is a network regulation mechanism between growth factors and some oncogenes.
OBJECTIVE: To prepare chitosan-gelatin/hydroxyapatite (CS-Gel/HA) composite scaffolds, and to investigate the influence of components and preparing conditions to their micromorphology. METHODS: The CS-Gel/HA composite scaffolds were prepared by phase-separation method. Micromorphology and porosity were detected by using scanning electron microscope and liquid displacement method respectively. RESULTS: Porous CS-Gel/HA composite scaffolds could be prepared by phase-separation method, and their density and porosity could be controlled by adjusting components and quenching temperature. CONCLUSION: The study suggests the feasibility of using CS-Gel/HA composite scaffolds for the transplantation of autogenous osteoblasts to regenerate bone tissue.
Objective To provide evidence for the establishment of an essential medicines list, we investigated the institutional medicine supply in rural hospitals and community health service centers in Chengdu. Methods The trained investigators collected medicine sales records and information about the management of institutional pharmacies. Through in-depth interviews with the pharmaceutical personnel, we inquired into the drug supervision and supply networks in rural areas. Then we performed secondary research based on a comparative analysis of drug classification, administration and pharmacies in developed countries. Results Seven township hospitals/community health service centers had pharmacies, facilities, storage, and a clean environment. Three of them used electrical databases to manage medicine sales records. Five township hospitals and 5 village medical rooms purchased medicines from the drug supervision and supply networks every week. In this way, they ensured the quality and accessibility of drugs in rural areas. In the urban community health service centers, medicines were supplied based on the traditional commercial distribution system. Conclusion Rational allocation of health resources to set up institutional pharmacies and village medicine rooms is important. The supervision of village medical rooms must be stricter. We should expand the use of electrical databases and integrate the supervision and supply networks with the supply system of the essential medicines.
Objective To investigate the value of back propagation (BP) neural network for recognizing gastric cancer cell. Methods A total of 510 cells was selected from 308 patients. There were 210 gastric adenocarcinoma cells and 300 non-cancer gastric cells. Ten morphological parameters were measured for each cell. These data were randomly divided into two groups: training dataset (A) and test dataset (B). A three-layer BP neural network was built and trained by using dataset A. The network was then tested with dataset A and B.Results For data A, the sensitivity of network was 99%, specificity 99%, positive predictive value 98%, negative predictive value 99%, and accuracy 99%. For data B, the sensitivity of network was 99%, specificity 97%, positive predictive value 96%, negative predictive value 99%, the accuracy 98%. With receiver operator characteristic (ROC) curve evaluation, the area under ROC curve was 0.99.Conclusion The model based on BP neural network is very effective. A BP neural network can be used for effectively recognizing gastric cancer cell.
【摘要】 目的 通过关键词共现分析和作者共现分析的方式，研究国内外循证心血管领域的研究热点、学科分支和发展趋势。 方法 通过检索中国生物医学数据库和Medline数据库，分别收集相关研究文献，并提取关键词词频、作者发文数和核心研究单位，对核心关键词和核心发文作者建立共现矩阵，使用Ucinet绘制可视化网络图。 结果 成功得到核心关键词和核心作者可视化网络。中文可视化网络包括循证医学、治疗和护理3个方面，英文可视化网络包括evidence-based medicine、therapy和treatment outcome 3个方面。而在作者合作可视化网络中，国内作者合作关系较为松散，合作团体较小，国外作者合作关系较为紧密，合作团体较大。国内核心研究机构分布于循证研究重点高校，国外则以发达国家为主。 结论 国内循证心血管研究领域总体发展趋势较好，但较国外相比仍存在一些不足，需要进一步加强重点研究，调整研究规划。【Abstract】 Objective To research on the hot issues, branch system and development trend of evidence-based cardiovascular medicine in and out of china by using co-word analysis of keywords and authors. Methods By Searching the CBM database in Chinese and Medline database in English, we collected the related articles and picked out the frequency of keywords, authors and core administrations, and built the matrix of keywords and authors. Finally we completed the visualized network by Ucinet. Results We successfully obtained the visualization of this subject. Chinese network contained three parts: evidence-based medicine, therapy and nursing, while English network also contained three parts: evidence-based medicine, therapy and treatment outcome. In the authors′ visualized network, Chinese authors had less cooperation and looser relationship compared with their counterparts overseas. The core administrations in china located in outstanding universities, and developed countries had the dominated roles in the world. Conclusions The development trend of evidence-based cardiovascular medicine in china is good, but still has some limitations compared with overseas studies. More emphasis should be put on strengthening core-area researching and research plan adjustment.