• 제목/요약/키워드: disease mapping

검색결과 156건 처리시간 0.027초

Effects of Lipid Peroxidation of LDL and Lp(a)

  • Shim, Young-Hee;Kim, Tae-Woong
    • Preventive Nutrition and Food Science
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    • 제1권1호
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    • pp.93-98
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    • 1996
  • Lipopretein(a)[Lp(a)] is a macromolecular complex found in human plasma that combines structural elements composed of LDL and apo(a), and that is associated with premature coronary heart disease and stroke. In this study, various samples which consisted of normal and abnormal LDL and LP(a) were selected for compar-ison. The above samples were incubated with copper in order to oxidize and to compare atheroma formation, in vitro and free radical formation of Lp(a) was decreased compared to purified LDl. And LDL or Lp(a) from a 40 year old donor was higher in the free radical formation than that fro, a 20 years old donor. In order to investigate the macrophage foam cell formation, oxidized LDL of Lp(a) was incubated with human monocyte derived macrophage(HMDM). Oxidized samples enhanced on acceptability f foam cell formation by HMDM were compared to the control group. Also, structural change of LDL and Lp(a) against oxidation times were found from HPLC mapping.

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FPGA Implementation of an Artificial Intelligence Signal Recognition System

  • Rana, Amrita;Kim, Kyung Ki
    • 센서학회지
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    • 제31권1호
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    • pp.16-23
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    • 2022
  • Cardiac disease is the most common cause of death worldwide. Therefore, detection and classification of electrocardiogram (ECG) signals are crucial to extend life expectancy. In this study, we aimed to implement an artificial intelligence signal recognition system in field programmable gate array (FPGA), which can recognize patterns of bio-signals such as ECG in edge devices that require batteries. Despite the increment in classification accuracy, deep learning models require exorbitant computational resources and power, which makes the mapping of deep neural networks slow and implementation on wearable devices challenging. To overcome these limitations, spiking neural networks (SNNs) have been applied. SNNs are biologically inspired, event-driven neural networks that compute and transfer information using discrete spikes, which require fewer operations and less complex hardware resources. Thus, they are more energy-efficient compared to other artificial neural networks algorithms.

CT 기반 딥러닝을 이용한 만성 폐쇄성 폐질환의 체성분 정량화와 질병 중증도 (CT-Derived Deep Learning-Based Quantification of Body Composition Associated with Disease Severity in Chronic Obstructive Pulmonary Disease)

  • 송재은;박소현;임명남;이은주;차윤기;윤현정;김우진
    • 대한영상의학회지
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    • 제84권5호
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    • pp.1123-1133
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    • 2023
  • 목적 만성폐쇄성폐질환의 CT에서 자동 정량 측정된 체성분과 폐기능 또는 정량적 변수들 사이의 연관성을 알아보고자 하였다. 대상과 방법 총 290명의 만성폐쇄성폐질환 환자를 대상으로 연구하였다. 흉부 CT에서 근육 및 피하지방 부피, T12 레벨에서 근육 및 피하지방 면적 및 골 감쇠를 딥러닝 기반 분할 알고리즘을 사용하여 획득하였다. Parametric response mapping-derived emphysema (이하 PRMemph), PRM-derived functional small airway disease (이하 PRMfSAD) 및 기도 벽 두께(airway wall thickness; 이하 AWT)-Pi10을 정량적으로 평가하였다. Pearson 상관 분석을 사용하여 체성분과 결과 간의 연관성을 평가하였다. 결과 근육과 피하지방의 부피와 면적은 PRMemph와 PRMfSAD와 음의 상관관계를 보였다(p < 0.05). T12에서의 골밀도는 PRMemph와 음의 상관관계를 보였다(r = -0.1828, p = 0.002). 피하지방의 부피와 면적과 T12에서의 골밀도는 AWT-Pi10과 양의 상관관계를 보였다(r = 0.1287, p = 0.030; r = 0.1668, p = 0.005; r = 0.1279, p = 0.031). 반면에 근육 부피는 AWT-Pi10과 음의 상관관계를 보였다(r = -0.1966, p = 0.001). 근육 부피는 폐기능과 의미 있는 연과성을 보였다(p < 0.001). 결론 흉부 CT에서 정량적으로 평가된 체성분은 만성폐쇄성폐질환의 표현형 또는 중증도와 연관성을 보인다.

2012년 전국 지역사회 건강조사 자료를 이용한 시·군·구 단위 질병 유병률의 공간 자기상관도에 관한 연구 (Spatial Autocorrelation of Disease Prevalence in South Korea Using 2012 Community Health Survey Data)

  • 오원섭;우엔콩효;김상민;손정우;허준
    • 한국측량학회지
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    • 제34권3호
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    • pp.253-262
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    • 2016
  • 본 연구는 다양한 질병에 대한 전국단위 지역적 변이 규명의 기초연구로써 24종 질병이 갖는 독특한 공간패턴을 비교 및 분석하였다. 이를 위해 지역사회건강조사에서 제공하는 2012년도 유병률 데이터를 전국 230개 시군구의 유병률 순위 기준 삼분위수로 그룹화 하였다. 그 후, 분석대상을 중심으로 각 질병 유병률의 기초통계를 알아보기 위해 기술통계분석을 실시하였다. 아울러, 각 질병이 갖는 공간적 패턴과 자기상관을 분석하기 위해 질병별 global Moran’s I를 계산하였으며, Geocoding을 통한 지도 가시화를 수행하였다. 그 결과 질병마다 각각 상이한 공간자기상관도를 보이며 독특한 공간패턴을 나타냄을 확인하였다. 24종의 질병 중 알레르기비염 등 12종의 질병은 통계적 유의수준에서 공간적 변인이 존재했으며, 천식 등 12종의 질병은 공간적 영향요소가 없는 것으로 나타났다. 이를 통해 각 질환들의 위험인자와 그 메커니즘이 서로 다르며, 각 질병별 유병에 영향을 미치는 공간적 요소가 서로 상이함을 알 수 있었다

Distribution of the Population at Risk of Cholangiocarcinoma in Bua Yai District, Nakhon Ratchasima of Thailand Using Google Map

  • Kaewpitoon, Soraya J;Rujirakul, Ratana;Sangkudloa, Amnat;Kaewthani, Sarochinee;Khemplila, Kritsakorn;Cherdjirapong, Karuna;Kujapun, Jirawoot;Norkaew, Jun;Chavengkun, Wasugree;Ponphimai, Sukanya;Polsripradist, Poowadol;Padchasuwan, Natnapa;Joosiri, Apinya;Wakkhuwattapong, Parichart;Loyd, Ryan A;Matrakool, Likit;Tongtawee, Taweesak;Panpimanmas, Sukij;Kaewpitoon, Natthawut
    • Asian Pacific Journal of Cancer Prevention
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    • 제17권3호
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    • pp.1433-1436
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    • 2016
  • Background: Cholangiocarcinoma (CCA), a major problem of health in Thailand, particularly in Northeastern and Northern regions, is generally incurable and rapidly lethal because of presentation in stage 3 or 4. Early diagnosis of stage 1 and 2 could allow better survival. Therefore, this study aimed to provide a distribution map of populations at risk for CCA in BuaYai district of Nakhon Ratchasima province, Northeast Thailand. Materials and Methods: A cross-sectional survey was carried out in 10 sub-districts and 122 villages, during June and November 2015. The populations at risk for CCA were screened using the Korat CCA verbal screening test (KCVST) and then risk areas were displayed by using Google map (GM). Results: A total of 11,435 individuals from a 26,198 population completed the KCVST. The majority had a low score of risk for CCA (1-4 points; 93.3%). High scores with 6, 7 and 8 points accounted for 1.20%, 0.13% and 0.02%. The population at risk was found frequently in sub-district municipalities, followed by sub-district administrative organization and town municipalities, (F=396.220, P-value=0.000). Distribution mapping comprised 11 layers: 1, district; 2, local administrative organization; 3, hospital; 4, KCVST opisthorchiasis; 5, KCVST praziquantel used; 6, KCVST cholelithiasis; 7, KCVST raw fish consumption; 8, KCVST alcohol consumption; 9, KCVST pesticide used; 10, KCVST relative family with CCA; and 11, KCVST naive northeastern people. Geovisual display is now available online. Conclusions: This study indicated that the population at high risk of CCA in Bua Yai district is low, therefore setting a zero model project is possible. Key success factors for disease prevention and control need further study. GM production is suitable for further CCA surveillance and monitoring of the population with a high risk score in this area.

PubMed와 대한침구학회지(大韓針灸學會誌) 논문(論文) 검색(檢索)을 통(通)한 침요법(鍼療法)과 뇌(腦)와의 관계(關係)에 대한 연구동향(硏究動向) 고찰(考察) (The acupuncture mechanism related brain in Medline and the journal of Korean acupuncture & moxibustion)

  • 김후동;고형균;김창환
    • Journal of Acupuncture Research
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    • 제18권4호
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    • pp.188-200
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    • 2001
  • Background and Objetive : Acupuncture is a valuable method of oriental medicine with broad application in many disease. It is based on the experiences of traditional oriental medicine as well as on experimentally proven biological (biochemical and neurophysiological) effects. Acupuncture theory has been explained by the meridian system that is thought to be linked with particular organs. However, in western medicine it is held that many disorders are either controlled or affected by the brain. Material and Method : In order to review the studies concerned with the mechanism related brain, we have referred to the Pubmed site and the Journal of Korean acupuncture and moxibustion Result and Conculsion : Among the 12 studies in the Journal of Korean acupuncture and moxibustion, 8 papers related neurotransmitters were done by experimental study, 4 papers related brain mapping were done by clinical study. Among the 8 studies related brain mapping in the Pubmed site, 6 clinical studies using functional magnetic resonance imaging(fMRI) were done and I clinical study using single-photon emission computed tomography(SPECT) was done, I paper was review article. By the above result, it would be needed further research on the acupuncture mechanism related brain using SPECT, fMRI, positron emission tomography(PET) etc.

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Quantitative Proteomics Towards Understanding Life and Environment

  • Choi, Jong-Soon;Chung, Keun-Yook;Woo, Sun-Hee
    • 한국환경농학회지
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    • 제25권4호
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    • pp.371-381
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    • 2006
  • New proteomic techniques have been pioneered extensively in recent years, enabling the high-throughput and systematic analyses of cellular proteins in combination with bioinformatic tools. Furthermore, the development of such novel proteomic techniques facilitates the elucidation of the functions of proteins under stress or disease conditions, resulting in the discovery of biomarkers for responses to environmental stimuli. The ultimate objective of proteomics is targeted toward the entire proteome of life, subcellular localization biochemical activities, and the regulation thereof. Comprehensive analysis strategies of proteomics can be classified into three categories: (i) protein separation via 2-dimensional gel electrophoresis (2-DE) or liquid chromatography (LC), (ii) protein identification via either Edman sequencing or mass spectrometry (MS), and (iii) proteome quantitation. Currently, MS-based proteomics techniques have shifted from qualitative proteome analysis via 2-DE or 2D-LC coupled with off-line matrix assisted laser desorption ionization (MALDI) and on-line electrospray ionization (ESI) MS, respectively, toward quantitative proteome analysis. In vitro quantitative proteomic techniques include differential gel electrophoresis with fluorescence dyes. protein-labeling tagging with isotope-coded affinity tags, and peptide-labeling tagging with isobaric tags for relative and absolute quantitation. In addition, stable isotope-labeled amino acids can be in vivo labeled into live culture cells via metabolic incorporation. MS-based proteomics techniques extend to the detection of the phosphopeptide mapping of biologically crucial proteins, which ale associated with post-translational modification. These complementary proteomic techniques contribute to our current understanding of the manner in which life responds to differing environment.

Identifying High-Risk Clusters of Gastric Cancer Incidence in Iran, 2004 - 2009

  • Kavousi, Amir;Bashiri, Yousef;Mehrabi, Yadollah;Etemad, Korosh;Teymourpour, Amir
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권23호
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    • pp.10335-10337
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    • 2015
  • Background: Gastric cancer is considered as the second most prevalent cancer in Iran. The present research sought to identify high risk clusters of gastric cancer with mapping using space-time scan statistics. Materials and Methods: The present research is of descriptive type. The required data were gathered from the registered cancer reports of Cancer Control Office in the Center for Non Communicable Disease of the Ministry of Health (MOH). The data were extracted at province level in the time span of 2004-9. Sat-Scan software was used to analyse the data and to identify high risk clusters. ArcGIS10 was utilized to map the distribution of gastric cancer and to demonstrate high risk clusters. Results: The most likely clusters were found in Ardabil, Gilan, Zanjan, East-Azerbaijan, Qazvin, West-Azerbaijan, Kurdistan, Hamadan, Tehran and Mazandaran between 2007 and 2009. It was statistically significant at the p-value below 0.05. Conclusions: High risk regions included Northern, West-North and central provinces, particularly Ardabil, Kurdistan, Mazandaran and Gilan. More screening tests are suggested to be conducted in high risk regions along with more frequent epidemiological studies to enact gastric cancer prevention programs.

Genetic Mapping of a Resistance Locus to Phytophthora sojae in the Korean Soybean Cultivar Daewon

  • Jang, Ik-Hyun;Kang, In Jeong;Kim, Ji-Min;Kang, Sung-Taeg;Jang, Young Eun;Lee, Sungwoo
    • The Plant Pathology Journal
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    • 제36권6호
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    • pp.591-599
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    • 2020
  • Phytophthora root and stem rot reduce soybean yields worldwide. The use of R-gene type resistance is currently crucial for protecting soybean production. The present study aimed to identify the genomic location of a gene conferring resistance to Phytophthora sojae isolate 2457 in the recombinant inbred line population developed by a cross of Daepung × Daewon. Singlemarker analysis identified 20 single nucleotide polymorphisms associated with resistance to the P. sojae isolate 2457, which explained ~67% of phenotypic variance. Daewon contributed a resistance allele for the locus. This region is a well-known location for Rps1 and Rps7. The present study is the first, however, to identify an Rps gene locus from a major soybean variety cultivated in South Korea. Linkage analysis also identified a 573 kb region on chromosome 3 with high significance (logarithm of odds = 13.7). This genomic region was not further narrowed down due to lack of recombinants within the interval. Based on the latest soybean genome, ten leucine-rich repeat coding genes and four serine/ threonine protein kinase-coding genes are annotated in this region, which all are well-known types of genes for conferring disease resistance in crops. These genes would be candidates for molecular characterization of the resistance in further studies. The identified R-gene locus would be useful in developing P. sojae resistant varieties in the future. The results of the present study provide foundational knowledge for researchers who are interested in soybean-P. sojae interaction.

A Low-noise Multichannel Magnetocardiogram System for the Diagnosis of Heart Electric Activity

  • Lee, Yong-Ho;Kim, Ki-Woong;Kim, Jin-Mok;Kwon, Hyuk-Chan;Yu, Kwon-Kyu;Kim, In-Seon;Park, Yong-Ki
    • 대한의용생체공학회:의공학회지
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    • 제27권4호
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    • pp.154-163
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    • 2006
  • A 64-channel magnetocardiogram (MCG) system using low-noise superconducting quantum interference device (SQUID) planar gradiometers was developed for the measurements of cardiac magnetic fields generated by the heart electric activity. Owing to high flux-to-voltage transfers of double relaxation oscillation SQUID (DROS) sensors, the flux-locked loop electronics for SQUID operation could be made simpler than that of conventional DC SQUIDs, and the SQUID control was done automatically through a fiber-optic cable. The pickup coils are first-order planar gradiometers with a baseline of 4 em. The insert has 64 planar gradiometers as the sensing channels and were arranged to measure MCG field components tangential to the chest surface. When the 64-channel insert was in operation everyday, the average boil-off rate of the dewar was 3.6 Lid. The noise spectrum of the SQUID planar gradiometer system was about 5 fT$_{rms}$/$\checkmark$Hz at 100 Hz, operated inside a moderately shielded room. The MCG measurements were done at a sampling rate of 500 Hz or 1 kHz, and realtime display of MCG traces and heart rate were displayed. After the acquisition, magnetic field mapping and current mapping could be done. From the magnetic and current information, parameters for the diagnosis of myocardial ischemia were evaluated to be compared with other diagnostic methods.