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  1. Article ; Online: Wearable Smart Devices for P4 Medicine in Heart Disease: Ready for Medical Cyber-Physical Systems?

    Lin, Biaoyang

    Omics : a journal of integrative biology

    2019  Volume 23, Issue 5, Page(s) 291–292

    MeSH term(s) Cardiology/methods ; Heart Diseases ; Humans ; Wearable Electronic Devices
    Language English
    Publishing date 2019-05-03
    Publishing country United States
    Document type Letter
    ZDB-ID 2030312-9
    ISSN 1557-8100 ; 1536-2310
    ISSN (online) 1557-8100
    ISSN 1536-2310
    DOI 10.1089/omi.2019.0059
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: China and Multiomics Research and Development Ecosystem: A Horizon Scanning and Current State of the Art.

    Lin, Biaoyang

    Omics : a journal of integrative biology

    2019  Volume 24, Issue 1, Page(s) 3–4

    MeSH term(s) China ; Ecosystem ; Genomics/methods ; Glycomics ; Humans ; Metabolomics/methods ; Metagenomics ; Registries ; Research
    Language English
    Publishing date 2019-12-26
    Publishing country United States
    Document type Letter
    ZDB-ID 2030312-9
    ISSN 1557-8100 ; 1536-2310
    ISSN (online) 1557-8100
    ISSN 1536-2310
    DOI 10.1089/omi.2019.0199
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Digital Transformation in Personalized Medicine with Artificial Intelligence and the Internet of Medical Things.

    Lin, Biaoyang / Wu, Shengjun

    Omics : a journal of integrative biology

    2021  Volume 26, Issue 2, Page(s) 77–81

    Abstract: Digital transformation is impacting every facet of science and society, not least because there is a growing need for digital services and products with the COVID-19 pandemic. But the need for digital transformation in diagnostics and personalized ... ...

    Abstract Digital transformation is impacting every facet of science and society, not least because there is a growing need for digital services and products with the COVID-19 pandemic. But the need for digital transformation in diagnostics and personalized medicine field cuts deeper. In the past, personalized/precision medicine initiatives have been unable to capture the patients' experiences and clinical outcomes in real-time and in real-world settings. The availability of wearable smart sensors, wireless connectivity, artificial intelligence, and the Internet of Medical Things is changing the personalized/precision medicine research and implementation landscape. Digital transformation in poised to accelerate personalized/precision medicine and systems science in multiple fronts such as deep real-time phenotyping with patient-reported outcomes, high-throughput association studies between omics and highly granular phenotypic variation, digital clinical trials, among others. The present expert review offers an analysis of these systems science frontiers with a view to future applications at the intersection of digital health and personalized medicine, or put in other words, signaling the rise of "digital personalized medicine."
    MeSH term(s) Artificial Intelligence ; COVID-19 ; Humans ; Internet ; Pandemics ; Precision Medicine ; SARS-CoV-2
    Language English
    Publishing date 2021-04-21
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 2030312-9
    ISSN 1557-8100 ; 1536-2310
    ISSN (online) 1557-8100
    ISSN 1536-2310
    DOI 10.1089/omi.2021.0037
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: COVID-19 (Coronavirus Disease 2019): Opportunities and Challenges for Digital Health and the Internet of Medical Things in China.

    Lin, Biaoyang / Wu, ShengJun

    Omics : a journal of integrative biology

    2020  Volume 24, Issue 5, Page(s) 231–232

    MeSH term(s) Betacoronavirus ; COVID-19 ; China ; Coronavirus Infections ; Data Collection ; Humans ; Internet of Things/trends ; Inventions ; Medical Informatics/trends ; Pandemics ; Pneumonia, Viral ; SARS-CoV-2 ; Telemedicine
    Keywords covid19
    Language English
    Publishing date 2020-04-20
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2030312-9
    ISSN 1557-8100 ; 1536-2310
    ISSN (online) 1557-8100
    ISSN 1536-2310
    DOI 10.1089/omi.2020.0047
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Multi-Omics and Artificial Intelligence-Guided Data Integration in Chronic Liver Disease: Prospects and Challenges for Precision Medicine.

    Lin, Biaoyang / Ma, Yingying / Wu, ShengJun

    Omics : a journal of integrative biology

    2022  Volume 26, Issue 8, Page(s) 415–421

    Abstract: Chronic liver disease (CLD) is a significant planetary health burden. CLD includes a broad range of liver pathologies from different causes, for example, hepatitis B virus infection, fatty liver disease, hepatocellular carcinoma, and nonalcoholic fatty ... ...

    Abstract Chronic liver disease (CLD) is a significant planetary health burden. CLD includes a broad range of liver pathologies from different causes, for example, hepatitis B virus infection, fatty liver disease, hepatocellular carcinoma, and nonalcoholic fatty liver disease or the metabolic associated fatty liver disease. Biomarker and diagnostic discovery, and new molecular targets for precision treatments are timely and sorely needed in CLD. In this context, multi-omics data integration is increasingly being facilitated by artificial intelligence (AI) and attendant digital transformation of systems science. While the digital transformation of multi-omics integrative analyses is still in its infancy, there are noteworthy prospects, hope, and challenges for diagnostic and therapeutic innovation in CLD. This expert review aims at the emerging knowledge frontiers as well as gaps in multi-omics data integration at bulk tissue levels, and those including single cell-level data, gut microbiome data, and finally, those incorporating tissue-specific information. We refer to AI and related digital transformation of the CLD research and development field whenever possible. This review of the emerging frontiers at the intersection of systems science and digital transformation informs future roadmaps to bridge digital technology discovery and clinical omics applications to benefit planetary health and patients with CLD.
    MeSH term(s) Artificial Intelligence ; Carcinoma, Hepatocellular/pathology ; Humans ; Liver Neoplasms/genetics ; Liver Neoplasms/pathology ; Liver Neoplasms/therapy ; Precision Medicine
    Language English
    Publishing date 2022-08-04
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2030312-9
    ISSN 1557-8100 ; 1536-2310
    ISSN (online) 1557-8100
    ISSN 1536-2310
    DOI 10.1089/omi.2022.0079
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: COVID-19 (Coronavirus Disease 2019)

    Lin, Biaoyang / Wu, ShengJun

    OMICS: A Journal of Integrative Biology

    Opportunities and Challenges for Digital Health and the Internet of Medical Things in China

    2020  Volume 24, Issue 5, Page(s) 231–232

    Keywords covid19
    Language English
    Publisher Mary Ann Liebert Inc
    Publishing country us
    Document type Article ; Online
    ZDB-ID 2030312-9
    ISSN 1557-8100 ; 1536-2310
    ISSN (online) 1557-8100
    ISSN 1536-2310
    DOI 10.1089/omi.2020.0047
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Expression of 5-methylcytosine regulators is highly associated with the clinical phenotypes of prostate cancer and DNMTs expression predicts biochemical recurrence.

    Wang, Lin / Ren, Guoping / Lin, Biaoyang

    Cancer medicine

    2021  Volume 10, Issue 16, Page(s) 5681–5695

    Abstract: In patients with prostate cancer (PCa), there is a high rate of overdiagnosis and frequent overtreatment. Therefore, there is an urgent need for more accurate prediction of biochemical recurrence (BCR). DNA methylation regulation patterns play crucial ... ...

    Abstract In patients with prostate cancer (PCa), there is a high rate of overdiagnosis and frequent overtreatment. Therefore, there is an urgent need for more accurate prediction of biochemical recurrence (BCR). DNA methylation regulation patterns play crucial roles in tumorigenicity, progression, and treatment efficacy in PCa. However, the global relationship between epigenetic alterations, changes in mRNA levels, and pathologic phenotypes of PCa remain largely undefined. Here, we conducted a systematic analysis to identify global coexpression and comethylation modules in PCa. We identified coregulated methylation and expression modules and the relationships between epigenetic modifications, tumor progression, and the corresponding immune microenvironment in PCa. Our results show that DNA methyltransferases (DNMTs) are strongly associated with pathologic phenotypes and immune infiltration patterns in PCa. We built a two-factor predictive model using the expression features of DNMT3B and DNMT1. The model was used to predict the BCR status of patients with PCa and achieved area under the receiver operating characteristic curve values of 0.70 and 0.88 in the training and independent testing datasets, respectively.
    MeSH term(s) 5-Methylcytosine/metabolism ; DNA (Cytosine-5-)-Methyltransferase 1/genetics ; DNA (Cytosine-5-)-Methyltransferase 1/metabolism ; DNA (Cytosine-5-)-Methyltransferases/genetics ; DNA (Cytosine-5-)-Methyltransferases/metabolism ; DNA Methylation/immunology ; Datasets as Topic ; Epigenesis, Genetic/immunology ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Humans ; Kallikreins/blood ; Male ; Models, Genetic ; Neoplasm Recurrence, Local/diagnosis ; Neoplasm Recurrence, Local/epidemiology ; Neoplasm Recurrence, Local/genetics ; Prostate-Specific Antigen/blood ; Prostatic Neoplasms/blood ; Prostatic Neoplasms/genetics ; Prostatic Neoplasms/immunology ; Prostatic Neoplasms/therapy ; ROC Curve ; Risk Assessment/methods ; Tumor Microenvironment/genetics ; Tumor Microenvironment/immunology ; DNA Methyltransferase 3B
    Chemical Substances 5-Methylcytosine (6R795CQT4H) ; DNA (Cytosine-5-)-Methyltransferase 1 (EC 2.1.1.37) ; DNA (Cytosine-5-)-Methyltransferases (EC 2.1.1.37) ; DNMT1 protein, human (EC 2.1.1.37) ; KLK3 protein, human (EC 3.4.21.-) ; Kallikreins (EC 3.4.21.-) ; Prostate-Specific Antigen (EC 3.4.21.77)
    Language English
    Publishing date 2021-07-05
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2659751-2
    ISSN 2045-7634 ; 2045-7634
    ISSN (online) 2045-7634
    ISSN 2045-7634
    DOI 10.1002/cam4.4108
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: miR-433 Inhibits Glioblastoma Progression by Suppressing the PI3K/Akt Signaling Pathway Through Direct Targeting of

    Jiang, Huawei / Su, Zhiwei / Hu, Wangxiong / Yuan, Xianggui / Yu, Teng / Yang, Jing / Xiao, Xibin / Zheng, Shu / Lin, Biaoyang

    Omics : a journal of integrative biology

    2023  Volume 27, Issue 5, Page(s) 215–226

    Abstract: Glioblastoma multiforme (GBM) is a highly malignant brain tumor where new biomarkers and drug targets are much needed in the oncology clinic. miR-433 was identified as a tumor-suppressing miRNA in several different types of human cancer. However, the ... ...

    Abstract Glioblastoma multiforme (GBM) is a highly malignant brain tumor where new biomarkers and drug targets are much needed in the oncology clinic. miR-433 was identified as a tumor-suppressing miRNA in several different types of human cancer. However, the integrative biology of miR-433 in GBM is still largely unknown. By analyzing the expression profiles of miR-433 in 198 patients with glioma at The Cancer Genome Atlas, we found that the miR-433 expression was decreased in glioma whereas the low expression of miR-433 was significantly associated with shorter overall survival. We then conducted
    MeSH term(s) Humans ; Animals ; Mice ; Glioblastoma/metabolism ; Proto-Oncogene Proteins c-akt/genetics ; Proto-Oncogene Proteins c-akt/metabolism ; Phosphatidylinositol 3-Kinases/genetics ; Phosphatidylinositol 3-Kinases/metabolism ; Cell Line, Tumor ; Signal Transduction/genetics ; MicroRNAs/genetics ; MicroRNAs/metabolism ; Glioma/genetics ; Brain Neoplasms/metabolism ; Cell Proliferation/genetics ; Gene Expression Regulation, Neoplastic/genetics ; Cell Movement/genetics ; Receptor, ErbB-4/genetics ; Receptor, ErbB-4/metabolism
    Chemical Substances Proto-Oncogene Proteins c-akt (EC 2.7.11.1) ; Phosphatidylinositol 3-Kinases (EC 2.7.1.-) ; MicroRNAs ; ERBB4 protein, human (EC 2.7.10.1) ; Receptor, ErbB-4 (EC 2.7.10.1) ; MIRN433 microRNA, human ; Erbb4 protein, mouse (EC 2.7.10.1)
    Language English
    Publishing date 2023-05-17
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2030312-9
    ISSN 1557-8100 ; 1536-2310
    ISSN (online) 1557-8100
    ISSN 1536-2310
    DOI 10.1089/omi.2023.0046
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Dynamic Immune Response Profiles and Recovery of a COVID-19 Patient with Coinfection of

    Wu, Shengjun / Yang, Su / Chen, Ruofei / Chen, Hongquan / Xu, Yang / Lin, Biaoyang

    Omics : a journal of integrative biology

    2020  Volume 24, Issue 10, Page(s) 615–618

    MeSH term(s) Antibodies, Viral/blood ; Antifungal Agents/administration & dosage ; Antiviral Agents/administration & dosage ; Aspergillus fumigatus ; Betacoronavirus/immunology ; Coinfection/drug therapy ; Coinfection/immunology ; Coronavirus Infections/complications ; Coronavirus Infections/drug therapy ; Coronavirus Infections/immunology ; Diabetes Mellitus, Type 2/complications ; Drug Therapy, Combination ; Humans ; Hypertension/complications ; Male ; Middle Aged ; Pandemics ; Pneumonia, Viral/complications ; Pneumonia, Viral/drug therapy ; Pneumonia, Viral/immunology ; Pulmonary Aspergillosis/complications ; Pulmonary Aspergillosis/drug therapy ; Pulmonary Aspergillosis/immunology ; Time Factors
    Chemical Substances Antibodies, Viral ; Antifungal Agents ; Antiviral Agents
    Keywords covid19
    Language English
    Publishing date 2020-09-07
    Publishing country United States
    Document type Case Reports ; Letter ; Research Support, Non-U.S. Gov't
    ZDB-ID 2030312-9
    ISSN 1557-8100 ; 1536-2310
    ISSN (online) 1557-8100
    ISSN 1536-2310
    DOI 10.1089/omi.2020.0110
    Database MEDical Literature Analysis and Retrieval System OnLINE

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