LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 4421

Search options

  1. Article: Factors Associated with Surgical Outcomes after Bilateral Lateral Rectus Recession in Children with Intermittent Exotropia.

    Yang, Seung-Ahn / Choi, Hee-Young / Kim, Su-Jin / Han, Kwang-Eon / Lee, Ji-Eun

    Journal of clinical medicine

    2024  Volume 13, Issue 3

    Abstract: ... ...

    Abstract Backgroud
    Language English
    Publishing date 2024-01-26
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662592-1
    ISSN 2077-0383
    ISSN 2077-0383
    DOI 10.3390/jcm13030731
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article: Cardioprotective Effects of PARP Inhibitors: A Re-Analysis of a Meta-Analysis and a Real-Word Data Analysis Using the FAERS Database.

    Han, Ja-Young / Seo, Young-Eun / Kwon, Jae-Hee / Kim, Jae Hyun / Kim, Myeong Gyu

    Journal of clinical medicine

    2024  Volume 13, Issue 5

    Abstract: Objective: ...

    Abstract Objective:
    Language English
    Publishing date 2024-02-21
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662592-1
    ISSN 2077-0383
    ISSN 2077-0383
    DOI 10.3390/jcm13051218
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  3. Article ; Online: Atypical Layering of FDG in Pleural Effusion.

    Han, Eun Ji / Yoon, Hyukjin / Choi, Woo Hee

    Clinical nuclear medicine

    2023  Volume 49, Issue 2, Page(s) 162–165

    Abstract: Abstract: Radiopharmaceuticals can accumulate in malignant or nonmalignant pleural effusion on γ and PET imaging, and effusion shows a pattern of diffusely or focally increased activity. Herein, we report atypical layering of FDG in pleural effusion on ... ...

    Abstract Abstract: Radiopharmaceuticals can accumulate in malignant or nonmalignant pleural effusion on γ and PET imaging, and effusion shows a pattern of diffusely or focally increased activity. Herein, we report atypical layering of FDG in pleural effusion on PET/CT of 3 patients with metastatic gynecological cancer.
    MeSH term(s) Humans ; Fluorodeoxyglucose F18 ; Positron Emission Tomography Computed Tomography ; Lung Neoplasms ; Pleural Effusion, Malignant/diagnostic imaging ; Diagnosis, Differential ; Pleural Effusion/diagnostic imaging ; Radiopharmaceuticals
    Chemical Substances Fluorodeoxyglucose F18 (0Z5B2CJX4D) ; Radiopharmaceuticals
    Language English
    Publishing date 2023-11-17
    Publishing country United States
    Document type Journal Article
    ZDB-ID 197628-x
    ISSN 1536-0229 ; 0363-9762
    ISSN (online) 1536-0229
    ISSN 0363-9762
    DOI 10.1097/RLU.0000000000004972
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  4. Article ; Online: Investigating the occurrence of autoimmune diseases among children and adolescents hospitalized for

    Ha, Eun Kyo / Kim, Ju Hee / Cha, Hye Ryeong / Han, Bo Eun / Shin, Youn Ho / Baek, Hey-Sung / Choi, Sun Hee / Han, Man Yong

    Frontiers in immunology

    2023  Volume 14, Page(s) 1165586

    Abstract: Background: Mycoplasma pneumoniae: Objective: To estimate the association of : Methods: This retrospective cohort study examined the medical records of South Korean children from 01/01/2002 to 31/12/2017. The exposed cohort was identified as ... ...

    Abstract Background: Mycoplasma pneumoniae
    Objective: To estimate the association of
    Methods: This retrospective cohort study examined the medical records of South Korean children from 01/01/2002 to 31/12/2017. The exposed cohort was identified as patients hospitalized for
    Results: The exposed cohort consisted of 49,937 children and the matched unexposed of 499,370 children. The median age at diagnosis of
    Conclusion: M. pneumoniae
    MeSH term(s) Child ; Humans ; Adolescent ; Pneumonia, Mycoplasma/epidemiology ; Retrospective Studies ; Mycoplasma pneumoniae ; Hospitalization ; Autoimmune Diseases/epidemiology
    Language English
    Publishing date 2023-12-05
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2606827-8
    ISSN 1664-3224 ; 1664-3224
    ISSN (online) 1664-3224
    ISSN 1664-3224
    DOI 10.3389/fimmu.2023.1165586
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  5. Article ; Online: Drug Repositioning via Graph Neural Networks: Identifying Novel JAK2 Inhibitors from FDA-Approved Drugs through Molecular Docking and Biological Validation.

    Yasir, Muhammad / Park, Jinyoung / Han, Eun-Taek / Park, Won Sun / Han, Jin-Hee / Chun, Wanjoo

    Molecules (Basel, Switzerland)

    2024  Volume 29, Issue 6

    Abstract: The increasing utilization of artificial intelligence algorithms in drug development has proven to be highly efficient and effective. One area where deep learning-based approaches have made significant contributions is in drug repositioning, enabling the ...

    Abstract The increasing utilization of artificial intelligence algorithms in drug development has proven to be highly efficient and effective. One area where deep learning-based approaches have made significant contributions is in drug repositioning, enabling the identification of new therapeutic applications for existing drugs. In the present study, a trained deep-learning model was employed to screen a library of FDA-approved drugs to discover novel inhibitors targeting JAK2. To accomplish this, reference datasets containing active and decoy compounds specific to JAK2 were obtained from the DUD-E database. RDKit, a cheminformatic toolkit, was utilized to extract molecular features from the compounds. The DeepChem framework's GraphConvMol, based on graph convolutional network models, was applied to build a predictive model using the DUD-E datasets. Subsequently, the trained deep-learning model was used to predict the JAK2 inhibitory potential of FDA-approved drugs. Based on these predictions, ribociclib, topiroxostat, amodiaquine, and gefitinib were identified as potential JAK2 inhibitors. Notably, several known JAK2 inhibitors demonstrated high potential according to the prediction results, validating the reliability of our prediction model. To further validate these findings and confirm their JAK2 inhibitory activity, molecular docking experiments were conducted using tofacitinib-an FDA-approved drug for JAK2 inhibition. Experimental validation successfully confirmed our computational analysis results by demonstrating that these novel drugs exhibited comparable inhibitory activity against JAK2 compared to tofacitinib. In conclusion, our study highlights how deep learning models can significantly enhance virtual screening efforts in drug discovery by efficiently identifying potential candidates for specific targets such as JAK2. These newly discovered drugs hold promises as novel JAK2 inhibitors deserving further exploration and investigation.
    MeSH term(s) Drug Repositioning ; Molecular Docking Simulation ; Artificial Intelligence ; Reproducibility of Results ; Neural Networks, Computer
    Language English
    Publishing date 2024-03-19
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 1413402-0
    ISSN 1420-3049 ; 1431-5165 ; 1420-3049
    ISSN (online) 1420-3049
    ISSN 1431-5165 ; 1420-3049
    DOI 10.3390/molecules29061363
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  6. Article ; Online: Long COVID in children and adolescents: prevalence, clinical manifestations, and management strategies.

    Ha, Eun Kyo / Kim, Ju Hee / Han, Man Yong

    Clinical and experimental pediatrics

    2023  Volume 66, Issue 11, Page(s) 465–474

    Abstract: Long coronavirus disease (COVID), also known as postacute sequelae of severe acute respiratory syndrome coronavirus 2 infection, has been defined as signs and symptoms which persist for 4 weeks or even lasting for 6 months after the initial infection. ... ...

    Abstract Long coronavirus disease (COVID), also known as postacute sequelae of severe acute respiratory syndrome coronavirus 2 infection, has been defined as signs and symptoms which persist for 4 weeks or even lasting for 6 months after the initial infection. Although the prevalence of long COVID in children is currently unknown, epidemiological investigations have reported cases in pediatric populations. Clinical manifestations of long COVID in children include respiratory symptoms, such as cough and dyspnea, as well as neuropsychiatric and general conditions, including fatigue, headache, and muscle weakness. The pathophysiology of long COVID in children is still being investigated, but potential mechanisms include viral persistence, autoimmunity, and neuroinflammation. Risk factors for long COVID in children are not yet well understood, but studies have suggested that children with a history of severe acute COVID-19 infection or comorbidities may be at increased risk. Evaluation for respiratory symptoms of long COVID in children is essential, including spirometry and imaging studies to assess lung function and any potential damage. Furthermore, long COVID in children has been associated with a higher prevalence of mental health problems than in adults, emphasizing the importance of monitoring and addressing these aspects in pediatric patients. Although our understanding of long COVID in children and adolescents is still evolving, it is clear that the condition can have significant impacts on their health and well-being. The aim of this review is to synthesize the current knowledge on the prevalence, risk factors, and pathophysiology of long COVID in children and adolescents, and to discuss potential management strategies based on existing evidence.
    Language English
    Publishing date 2023-06-19
    Publishing country Korea (South)
    Document type Journal Article
    ISSN 2713-4148
    ISSN (online) 2713-4148
    DOI 10.3345/cep.2023.00472
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  7. Article: The Effect of Psychological Factors on COVID-19 Vaccination Side Effects: A Cross-Sectional Survey in South Korea.

    Kim, Eun / Kim, Hee Jin / Han, Doug Hyun

    Psychiatry investigation

    2023  Volume 20, Issue 9, Page(s) 808–817

    Abstract: Objective: Side effects from the coronavirus disease-2019 (COVID-19) vaccine, such as pain, headache, nausea, and fatigue, have caused vaccine hesitancy. Research on the effects of psychological factors on COVID-19 vaccine side effects is insufficient. ... ...

    Abstract Objective: Side effects from the coronavirus disease-2019 (COVID-19) vaccine, such as pain, headache, nausea, and fatigue, have caused vaccine hesitancy. Research on the effects of psychological factors on COVID-19 vaccine side effects is insufficient. This study aims to investigate the effect of psychological factors on COVID-19 vaccination side effects.
    Methods: We recruited a total of 226 individuals registered for the COVID-19 vaccine in Seoul, South Korea, for this study. Participants completed a pre-vaccination questionnaire, including the 5C antecedents of vaccination, and a survey of psychological factors (Patient Health Questionnaire-9 [PHQ-9], Generalized Anxiety Disorder-7, Somatic symptom amplification scale [SSAS], and Illness Attitude Scale [IAS]). After vaccination, participants completed an online questionnaire regarding vaccine side effects at 20 minutes, three days, and seven days after vaccination. We added a discrete set of hierarchical variables with vaccine side effects as the dependent variable to the hierarchical regression analysis: demographics for Model 1, 5C antecedents of vaccination for Model 2, and psychological factors for Model 3.
    Results: Our results indicated that the risk factors for side effects 20 minutes after vaccination were young age, high PHQ, and SSAS scores. Risk factors for side effects three days after vaccination were young age, high constraints, and calculation, and the risk factor for side effects at seven days was a high IAS score.
    Conclusion: Our study confirmed that there is a significant relationship between psychological factors and COVID-19 vaccine side effects in chronological order. Psychosocial factors should be examined when assessing side-effect reactions to the COVID-19 vaccine.
    Language English
    Publishing date 2023-09-19
    Publishing country Korea (South)
    Document type Journal Article
    ZDB-ID 2414364-9
    ISSN 1976-3026 ; 1738-3684
    ISSN (online) 1976-3026
    ISSN 1738-3684
    DOI 10.30773/pi.2023.0116
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  8. Article ; Online: Effect of psychological factors on COVID-19 vaccine hesitancy.

    Kim, Hee Jin / Kim, Eun / Han, Doug Hyun

    Journal of public health (Oxford, England)

    2023  Volume 45, Issue 3, Page(s) e522–e531

    Abstract: Background: Vaccine hesitancy can prevent full immunization against coronavirus infectious disease-19 (COVID-19). We hypothesized that multiple factors, including an individual's personality and psychological factors, are associated with vaccine ... ...

    Abstract Background: Vaccine hesitancy can prevent full immunization against coronavirus infectious disease-19 (COVID-19). We hypothesized that multiple factors, including an individual's personality and psychological factors, are associated with vaccine hesitancy.
    Methods: A total of 275 non-vaccinated individuals were recruited for this study. Participants completed a self-report questionnaire including sociodemographic factors, health status, COVID-19 literacy and psychological factors (depressive symptoms, generalized anxiety, somatization, illness anxiety, temperament and character). In a hierarchical logistic regression analysis, a discrete set of hierarchical variables with vaccine acceptance or hesitancy as the dependent variable was added to the demographic factors for Model 1; Model 1 + health status for Model 2; Model 2 + COVID-19 literacy for Model 3 and Model 3 + psychological factors for Model 4.
    Results: Models 3 and 4 could predict vaccine hesitancy. High scores on the Generalized Anxiety Disorder-7 and the Illness Attitude Scale, low confidence, low collective responsibility and low reward dependence were risk factors for vaccine hesitancy.
    Conclusions: The present study demonstrates that psychological factors play critical roles in vaccine hesitancy. In addition to conventional policies that emphasize COVID-19 vaccines' safety and efficacy and the collective benefits of vaccination, a more individualized approach that considers an individual's emotions and personality is necessary.
    MeSH term(s) Humans ; COVID-19 Vaccines/therapeutic use ; COVID-19/epidemiology ; COVID-19/prevention & control ; Communicable Diseases ; Anxiety ; Health Status
    Chemical Substances COVID-19 Vaccines
    Language English
    Publishing date 2023-05-03
    Publishing country England
    Document type Journal Article
    ZDB-ID 2142082-8
    ISSN 1741-3850 ; 1741-3842
    ISSN (online) 1741-3850
    ISSN 1741-3842
    DOI 10.1093/pubmed/fdad050
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  9. Article ; Online: Population-based retrospective cohort study on community-acquired pneumonia hospitalization in children with a ventricular septal defect.

    Sung, Myongsoon / Kim, Ju Hee / Ha, Eun Gyo / Shin, Jeewon / Kwak, Ji Hee / Jee, Hye Mi / Han, Man Yong

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 9307

    Abstract: The cohort consisted of 9400 exposed children diagnosed with ventricular septal defect (VSD). The risk of community-acquired pneumonia (CAP) or asthma with VSD was assessed using the Cox proportional hazard model with an inverse probability of treatment ... ...

    Abstract The cohort consisted of 9400 exposed children diagnosed with ventricular septal defect (VSD). The risk of community-acquired pneumonia (CAP) or asthma with VSD was assessed using the Cox proportional hazard model with an inverse probability of treatment weighting. During a mean follow-up of 6.67 years (starting from 12 months after birth), there were 2100 CAP admission cases among exposed patients (incidence rate: 33.2 per 1000 person-years) and 20,109 CAP admission cases among unexposed children (incidence rate: 29.6 per 1000 person-years), with hazard ration of 1.09 (95% CI 1.04-1.14).
    MeSH term(s) Humans ; Community-Acquired Infections/epidemiology ; Heart Septal Defects, Ventricular/epidemiology ; Heart Septal Defects, Ventricular/complications ; Male ; Female ; Hospitalization ; Pneumonia/epidemiology ; Retrospective Studies ; Child, Preschool ; Child ; Infant ; Incidence ; Proportional Hazards Models ; Risk Factors ; Asthma/epidemiology ; Asthma/complications ; Adolescent
    Language English
    Publishing date 2024-04-23
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-59510-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  10. Article ; Online: Computational Exploration of Licorice for Lead Compounds against

    Yasir, Muhammad / Park, Jinyoung / Han, Eun-Taek / Park, Won Sun / Han, Jin-Hee / Kwon, Yong-Soo / Lee, Hee-Jae / Chun, Wanjoo

    Molecules (Basel, Switzerland)

    2023  Volume 28, Issue 8

    Abstract: Plasmodium ... ...

    Abstract Plasmodium vivax
    MeSH term(s) Humans ; Plasmodium vivax ; Molecular Docking Simulation ; Glycyrrhiza ; Molecular Dynamics Simulation ; Protozoan Proteins/chemistry ; Antigens, Protozoan ; Binding Sites ; Erythrocytes/metabolism
    Chemical Substances Protozoan Proteins ; Antigens, Protozoan
    Language English
    Publishing date 2023-04-11
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 1413402-0
    ISSN 1420-3049 ; 1431-5165 ; 1420-3049
    ISSN (online) 1420-3049
    ISSN 1431-5165 ; 1420-3049
    DOI 10.3390/molecules28083358
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top