• Title/Summary/Keyword: 임상시험데이터

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A Study on the Methodology of Early Diagnosis of Dementia Based on AI (Artificial Intelligence) (인공지능(AI) 기반 치매 조기진단 방법론에 관한 연구)

  • Oh, Sung Hoon;Jeon, Young Jun;Kwon, Young Woo;Jeong, Seok Chan
    • The Journal of Bigdata
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    • v.6 no.1
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    • pp.37-49
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    • 2021
  • The number of dementia patients in Korea is estimated to be over 800,000, and the severity of dementia is becoming a social problem. However, no treatment or drug has yet been developed to cure dementia worldwide. The number of dementia patients is expected to increase further due to the rapid aging of the population. Currently, early detection of dementia and delaying the course of dementia symptoms is the best alternative. This study presented a methodology for early diagnosis of dementia by measuring and analyzing amyloid plaques. This vital protein can most clearly and early diagnose dementia in the retina through AI-based image analysis. We performed binary classification and multi-classification learning based on CNN on retina data. We also developed a deep learning algorithm that can diagnose dementia early based on pre-processed retinal data. Accuracy and recall of the deep learning model were verified, and as a result of the verification, and derived results that satisfy both recall and accuracy. In the future, we plan to continue the study based on clinical data of actual dementia patients, and the results of this study are expected to solve the dementia problem.

A Study on Pre-evaluation of Tree Species Classification Possibility of CAS500-4 Using RapidEye Satellite Imageries (농림위성 활용 수종분류 가능성 평가를 위한 래피드아이 영상 기반 시험 분석)

  • Kwon, Soo-Kyung;Kim, Kyoung-Min;Lim, Joongbin
    • Korean Journal of Remote Sensing
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    • v.37 no.2
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    • pp.291-304
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    • 2021
  • Updating a forest type map is essential for sustainable forest resource management and monitoring to cope with climate change and various environmental problems. According to the necessity of efficient and wide-area forestry remote sensing, CAS500-4 (Compact Advanced Satellite 500-4; The agriculture and forestry satellite) project has been confirmed and scheduled for launch in 2023. Before launching and utilizing CAS500-4, this study aimed to pre-evaluation the possibility of satellite-based tree species classification using RapidEye, which has similar specifications to the CAS500-4. In this study, the study area was the Chuncheon forest management complex, Gangwon-do. The spectral information was extracted from the growing season image. And the GLCM texture information was derived from the growing and non-growing seasons NIR bands. Both information were used to classification with random forest machine learning method. In this study, tree species were classified into nine classes to the coniferous tree (Korean red pine, Korean pine, Japanese larch), broad-leaved trees (Mongolian oak, Oriental cork oak, East Asian white birch, Korean Castanea, and other broad-leaved trees), and mixed forest. Finally, the classification accuracy was calculated by comparing the forest type map and classification results. As a result, the accuracy was 39.41% when only spectral information was used and 69.29% when both spectral information and texture information was used. For future study, the applicability of the CAS500-4 will be improved by substituting additional variables that more effectively reflect vegetation's ecological characteristics.

Efficacy and Safety of COVID-19 Vaccines in Children Aged 5 to 11 Years: A Systematic Review (5-11세 소아에서 코로나19 백신의 효능 및 안전성에 대한 체계적 문헌고찰)

  • Choi, Miyoung;Yu, Su-Yeon;Cheong, Chelim;Choe, Young June;Choi, Soo-Han
    • Pediatric Infection and Vaccine
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    • v.29 no.1
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    • pp.28-36
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    • 2022
  • Purpose: To evaluate the efficacy and safety of coronavirus disease 2019 (COVID-19) vaccines in children aged 5-11 years, a rapid systematic review was conducted on published clinical trials of COVID-19 vaccines and studies that analyzed real-world data on adverse events after COVID-19 vaccination. Methods: A systematic search was conducted on medical literature in international (Ovid-MEDLINE) and pre-published literature databases (medRxiv), followed by handsearching up to January 4, 2022. We used terms including COVID-19, severe acute respiratory syndrome coronavirus 2, and vaccines, and the certainty of evidence was graded using the GRADE approach. Results: A total of 1,675 studies were identified, of which five were finally selected. Among the five studies, four consisted of data from clinical trials of each of the four types of COVID-19 vaccines (BNT162b2, mRNA-1273, CoronaVac, and BBIBP-CorV). The remaining study consisted of real-world data on the safety of the BNT162b2 vaccine in children aged 5-11 years. This systematic review identified that COVID-19 vaccines in recipients aged 5-11 years produced a favorable immune response, and were vaccines were effective against COVID-19. The safety findings for the BNT162b2 vaccine in children and early adolescents aged 5-11 years were similar to those data noted in the clinical trial. Conclusions: There is limited data on COVID-19 vaccines in children aged 5-11 years. Consequently continuous and comprehensive monitoring is necessary for the evaluation of the safety and effectiveness of the COVID-19 vaccines.

Characteristic of MED measurement Value of Trial Subjects from Ultraviolet Irradiation (자외선 조사 피험자의 MED 측정 값의 특성에 관한 연구)

  • Suk, Jang Mi;Park, Shin Young;Choi, Mi Ra;An, Song Yi;Kim, In Soo;Kim, Beom Joon;Park, Jin O;Jung, Sang Wook
    • Journal of the Society of Cosmetic Scientists of Korea
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    • v.39 no.3
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    • pp.251-257
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    • 2013
  • In this study, ultraviolet protection factor (Sun Protection Factor, SPF) was investigated to provide basic data for subject safety and research of ultraviolet (UV) irradiation test in the future. Trial subjects (395 people) of skin type I, II, and III were evaluated according to skin type standard table. After measuring the skin color using a colorimeter, ITA (Individual Typology Angle) value was calculated. Subjects with 28 and above ITA value were positioned comfortably to be UV irradiated for 60 s and erythema was evaluated 24 hours after application. MED (Minimal Erythema Dose) was investigated where the minimal amount of erythema existed among UVB irradiated area. Statistical analysis was investigated using Statistical Package the Social Sciences program. As a result, the darker skin color results in the higher MED value since the higher skin type number results increased MED value and female has higher MED value than male since female has darker skin type than male. There was no relation between MED difference by ages in all different ages. However, it is hard to draw a conclusion as above since the number of subjects were not sufficient to support statistical significance for MED values by different ages. However, MED values by skin types obtained through this study can be used as a standard when MED value is expected to evaluate efficacy of sunscreen product and as basic data for further safety of clinical researches.

Blood Loss Prediction of Rats in Hemorrhagic Shock Using a Linear Regression Model (출혈성 쇼크를 일으킨 흰쥐에서 선형회귀 분석모델을 이용한 출혈량 추정)

  • Lee, Tak-Hyung;Lee, Ju-Hyung;Choi, Jae-Rim;Yang, Dong-In;Kim, Deok-Won
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.47 no.1
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    • pp.56-61
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    • 2010
  • Hemorrhagic shock is a common cause of death in the emergency department. The purpose of this study was to investigate the relationship between blood loss as a percent of the total estimated blood volume (% blood loss) and changes in several physiological parameters. The other goal was to achieve an accurate prediction of percent blood loss for hemorrhagic shock in rats using a linear regression model. We allocated 60 Sprague-Dawley rats into four groups: 0ml, 2ml, 2.5ml, 3 mL/100 g during 15 min. We analyzed the heart rate, systolic and diastolic blood pressure, respiration rate, and body temperature in relation to the percent blood loss. We generated a linear regression model predicting the percent blood loss using a randomly chosen 360 data set and the R-square value of the model was 0.80. Root mean square error of the tested 360 data set using the linear regression was 5.7%. Even though the linear regression model is not directly applicable to clinical situation, our method of predicting % blood loss could be helpful in determining the necessary fluid volume for resuscitation in the future.

A Study on Animal Skin Irritation Measurement of Ozoneized Olive Oil for Cosmetic Ingredients (화장품원료를 위한 오존화 올리브오일의 동물 피부자극 측정에 관한 연구)

  • Kim, Ducksool
    • Journal of the Institute of Convergence Signal Processing
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    • v.22 no.1
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    • pp.14-19
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    • 2021
  • This study has attempted to use ozone for the treatment of skin diseases as research results that ozonated olive oil has an excellent therapeutic effect on skin diseases are known. However, there is hardly any accurate data in Korea. Usually, animal tests related to cosmetics are not performed, but toxicity tests were conducted because they were absolutely necessary. In general, there are not many cases of measuring actual data through animal tests for the purpose of confirming the performance of cosmetics, but in the case of toxicity tests, it is recommended to accurately measure skin reactions, so this experiment was conducted. In this experiment, in order to evaluate the skin irritation of ozonated oil (high concentration) on the rabbit, the test substance was applied to the back of the rabbit for 24 hours, and then mortality, general symptoms and skin irritation were evaluated. Experimental Results As a result of evaluating the treatment site of the test substance after a certain period of time, no skin irritation was observed in all animals.

Analysis of multi-center bladder cancer survival data using variable-selection method of multi-level frailty models (다수준 프레일티모형 변수선택법을 이용한 다기관 방광암 생존자료분석)

  • Kim, Bohyeon;Ha, Il Do;Lee, Donghwan
    • Journal of the Korean Data and Information Science Society
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    • v.27 no.2
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    • pp.499-510
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    • 2016
  • It is very important to select relevant variables in regression models for survival analysis. In this paper, we introduce a penalized variable-selection procedure in multi-level frailty models based on the "frailtyHL" R package (Ha et al., 2012). Here, the estimation procedure of models is based on the penalized hierarchical likelihood, and three penalty functions (LASSO, SCAD and HL) are considered. The proposed methods are illustrated with multi-country/multi-center bladder cancer survival data from the EORTC in Belgium. We compare the results of three variable-selection methods and discuss their advantages and disadvantages. In particular, the results of data analysis showed that the SCAD and HL methods select well important variables than in the LASSO method.

Estimated Blood Pressure Algorithm of Wrist Wearable Pulsimeter Using by Hall Device (홀소자를 이용한 손목착용 맥진기의 혈압추정 알고리즘)

  • Ahn, Myung-Cheon;Cho, Jong-Gu;Son, Il-Ho;Lee, Sang-Suk;Kim, Kuen-Ho
    • Journal of the Korean Magnetics Society
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    • v.20 no.3
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    • pp.106-113
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    • 2010
  • In order to get the precise blood pressure and pulse number in the cuffless status, the wrist wearable pulsimeter with a portable and small size apparatus using by Hall device is developed. The regression analysis of the pulse wave measured by the testing product of pulsimeter is conducted two equations of the blood pressure algorithm. The estimated values of blood pressure obtained by the cuffless pulsimeter during 5 s are compared with the practical values measured by electronic or mercury liquid blood pressure meters. The standard deviation of the estimated value and the practical value for the high blood pressure and the low blood pressure were 12.1 and 5.9, respectively, which have the neighborhood values of BP International Standard. The detail analysis of a pulse wave measured by cuffless wrist wearable detecting the changes of the magnetic field can be used to develop a new diagnostic algorithm of blood pressure applying for oriental medical apparatus like as the wrist wearable pulsimeter.

Development of a New Similarity Index to Compare Time-series Profile Data for Animal and Human Experiments (동물 및 임상 시험의 시계열 프로파일 데이터 비교를 위한 유사성 지수 개발)

  • Lee, Ye Gyoung;Lee, Hyun Jeong;Jang, Hyeon Ae;Shin, Sangmun
    • Journal of Korean Society for Quality Management
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    • v.49 no.2
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    • pp.145-159
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    • 2021
  • Purpose: A statistical similarity evaluation to compare pharmacokinetics(PK) profile data between nonclinical and clinical experiments has become a significant issue on many drug development processes. This study proposes a new similarity index by considering important parameters, such as the area under the curve(AUC) and the time-series profile of various PK data. Methods: In this study, a new profile similarity index(PSI) by using the concept of a process capability index(Cp) is proposed in order to investigate the most similar animal PK profile compared to the target(i.e., Human PK profile). The proposed PSI can be calculated geometric and arithmetic means of all short term similarity indices at all time points on time-series both animal and human PK data. Designed simulation approaches are demonstrated for a verification purpose. Results: Two different simulation studies are conducted by considering three variances(i.e., small, medium, and large variances) as well as three different characteristic types(smaller the better, larger the better, nominal the best). By using the proposed PSI, the most similar animal PK profile compare to the target human PK profile can be obtained in the simulation studies. In addition, a case study represents differentiated results compare to existing simple statistical analysis methods(i.e., root mean squared error and quality loss). Conclusion: The proposed PSI can effectively estimate the level of similarity between animal, human PK profiles. By using these PSI results, we can reduce the number of animal experiments because we only focus on the significant animal representing a high PSI value.

Music and Art Therapy for Parkinson's Disease Patients: A Demand Survey (파킨슨병 환자 대상 음악 및 미술 치료 수요 설문조사)

  • Shin Young Park;Miso S. Park;Wang Jung Hur;Jaeson Pyeon;Horyong Yoo
    • Journal of TMJ Balancing Medicine
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    • v.13 no.sup
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    • pp.9-14
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    • 2023
  • Objectives: The purpose of this study was to investigate patients' demand for music and art therapy in the treatment of Parkinson's disease and to understand how patients view the use of music and art therapy as a complementary form of treatment that can improve their quality of life and increase their self-efficacy in addition to medication. Methods: To this end, 60 Parkinson's patients visiting Daejeon Korean Medicine Hospital at Daejeon University were surveyed about music and art therapy. Results: The survey demonstrated a highly positive response to the music program, with strong belief in its efficacy for Parkinson's disease and significant interest in participation. Group music therapy was perceived as effective for enhancing mental health, respiratory function, language disorders, and overall quality of life. Although the art program was also deemed effective, patients showed slightly lower interest and willingness to participate compared to music therapy. The patients preferred 60-minute sessions once a week for about 8 weeks. Conclusions: We propose the following directions for a Parkinson's music and art therapy program. First, develop a once-a-week, 8-week music and art program for Parkinson's patients. Second, design the music program to focus on improving respiratory function and quality of life. Third, the art program focuses on creating a sense of security and comfort through emotional exchange among patients and improving self-efficacy.

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