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  1. Book: Machine Learning, Medical AI and Robotics

    Ying Kuen Chan, Jason / Kwok, Ka-Wai / Dou, Qi / Vardhanabhuti, Varut

    Translating theory into the clinic

    2023  

    Size 222 p.
    Publisher Institute of Physics Publishing
    Document type Book
    Note PDA Manuell_25
    Format 181 x 256 x 18
    ISBN 9780750346351 ; 0750346353
    Database PDA

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  2. Article ; Online: CT scan AI-aided triage for patients with COVID-19 in China.

    Vardhanabhuti, Varut

    The Lancet. Digital health

    2020  Volume 2, Issue 10, Page(s) e494–e495

    MeSH term(s) COVID-19 ; China ; Deep Learning ; Humans ; Pandemics ; Retrospective Studies ; SARS-CoV-2 ; Tomography, X-Ray Computed ; Triage
    Keywords covid19
    Language English
    Publishing date 2020-09-22
    Publishing country England
    Document type Journal Article ; Comment
    ISSN 2589-7500
    ISSN (online) 2589-7500
    DOI 10.1016/S2589-7500(20)30222-3
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  3. Article ; Online: CT scan AI-aided triage for patients with COVID-19 in China

    Varut Vardhanabhuti

    The Lancet: Digital Health, Vol 2, Iss 10, Pp e494-e

    2020  Volume 495

    Keywords Computer applications to medicine. Medical informatics ; R858-859.7 ; covid19
    Language English
    Publishing date 2020-10-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Metabolic biomarkers using nuclear magnetic resonance metabolomics assay for the prediction of aging-related disease risk and mortality: a prospective, longitudinal, observational, cohort study based on the UK Biobank.

    Lian, Jie / Vardhanabhuti, Varut

    GeroScience

    2023  Volume 46, Issue 2, Page(s) 1515–1526

    Abstract: The identification of metabolic biomarkers for aging-related diseases and mortality is of significant interest in the field of longevity. In this study, we investigated the associations between nuclear magnetic resonance (NMR) metabolomics biomarkers and ...

    Abstract The identification of metabolic biomarkers for aging-related diseases and mortality is of significant interest in the field of longevity. In this study, we investigated the associations between nuclear magnetic resonance (NMR) metabolomics biomarkers and aging-related diseases as well as mortality using the UK Biobank dataset. We analyzed NMR samples from approximately 110,000 participants and used multi-head machine learning classification models to predict the incidence of aging-related diseases. Cox regression models were then applied to assess the relevance of NMR biomarkers to the risk of death due to aging-related diseases. Additionally, we conducted survival analyses to evaluate the potential improvements of NMR in predicting survival and identify the biomarkers most strongly associated with negative health outcomes by dividing participants into health, disease, and death groups for all age groups. Our analysis revealed specific metabolomics profiles that were associated with the incidence of age-related diseases, and the most significant biomarker was intermediate density lipoprotein cholesteryl (IDL-CE). In addition, NMR biomarkers could provide additional contributions to relevant mortality risk prediction when combined with conventional risk factors, by improving the C-index from 0.813 to 0.833, with 17 NMR biomarkers significantly contributing to disease-related death, such as monounsaturated fatty acids (MUFA), linoleic acid (LA), glycoprotein acetyls (GlycA), and omega-3. Moreover, the value of free cholesterol in very large HDL particles (XL-HDL-FC) in the healthy control group demonstrated significantly higher values than the disease and death group across all age groups. This study highlights the potential of NMR metabolomics profiling as a valuable tool for identifying metabolic biomarkers associated with aging-related diseases and mortality risk, which could have practical implications for aging-related disease risk and mortality prediction.
    MeSH term(s) Humans ; Prospective Studies ; Cohort Studies ; Biological Specimen Banks ; UK Biobank ; Magnetic Resonance Spectroscopy ; Biomarkers ; Aging
    Chemical Substances Biomarkers
    Language English
    Publishing date 2023-08-30
    Publishing country Switzerland
    Document type Observational Study ; Journal Article
    ZDB-ID 2886586-8
    ISSN 2509-2723 ; 2509-2715
    ISSN (online) 2509-2723
    ISSN 2509-2715
    DOI 10.1007/s11357-023-00918-y
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    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  6. Article ; Online: CT scan AI-aided triage for patients with COVID-19 in China

    Vardhanabhuti, Varut

    The Lancet Digital Health

    2020  Volume 2, Issue 10, Page(s) e494–e495

    Keywords covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ISSN 2589-7500
    DOI 10.1016/s2589-7500(20)30222-3
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: PET/CT: Nasopharyngeal Cancers.

    Xie, Chenyi / Vardhanabhuti, Varut

    PET clinics

    2022  Volume 17, Issue 2, Page(s) 285–296

    Abstract: PET/CT scan has been used as a tool for the diagnosis and management of nasopharyngeal carcinoma (NPC). It has been proven to be highly valuable for the imaging and management of patients with NPC with strengths in N and M staging as well as treatment ... ...

    Abstract PET/CT scan has been used as a tool for the diagnosis and management of nasopharyngeal carcinoma (NPC). It has been proven to be highly valuable for the imaging and management of patients with NPC with strengths in N and M staging as well as treatment planning and is recommended to be incorporated into the standard clinical assessment. Novel quantitative techniques such as the use of radiomics may provide valuable prognostic information.
    MeSH term(s) Fluorodeoxyglucose F18 ; Humans ; Magnetic Resonance Imaging ; Nasopharyngeal Carcinoma/diagnostic imaging ; Nasopharyngeal Carcinoma/pathology ; Nasopharyngeal Neoplasms/diagnostic imaging ; Nasopharyngeal Neoplasms/pathology ; Nasopharyngeal Neoplasms/therapy ; Neoplasm Staging ; Positron Emission Tomography Computed Tomography/methods
    Chemical Substances Fluorodeoxyglucose F18 (0Z5B2CJX4D)
    Language English
    Publishing date 2022-03-04
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2764575-7
    ISSN 1879-9809 ; 1556-8598
    ISSN (online) 1879-9809
    ISSN 1556-8598
    DOI 10.1016/j.cpet.2021.12.006
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    Einzelsignatur: Show issues

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  8. Article: Chest-Related Imaging Investigations During Multiple Waves of COVID-19 Infection in Hong Kong.

    Ng, Kei Shing / Vardhanabhuti, Varut

    Frontiers in medicine

    2021  Volume 8, Page(s) 704515

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2021-11-17
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2775999-4
    ISSN 2296-858X
    ISSN 2296-858X
    DOI 10.3389/fmed.2021.704515
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  9. Article: Towards visceral fat estimation at population scale: correlation of visceral adipose tissue assessment using three-dimensional cross-sectional imaging with BIA, DXA, and single-slice CT.

    Chan, Benjamin / Yu, Yan / Huang, Fan / Vardhanabhuti, Varut

    Frontiers in endocrinology

    2023  Volume 14, Page(s) 1211696

    Abstract: Background: In terms of assessing obesity-associated risk, quantification of visceral adipose tissue (VAT) has become increasingly important in risk assessment for cardiovascular and metabolic diseases. However, differences exist in the accuracy of ... ...

    Abstract Background: In terms of assessing obesity-associated risk, quantification of visceral adipose tissue (VAT) has become increasingly important in risk assessment for cardiovascular and metabolic diseases. However, differences exist in the accuracy of various modalities, with a lack of up-to-date comparison with three-dimensional whole volume assessment.
    Aims: Using CT or MRI three-dimensional whole volume VAT as a reference, we evaluated the correlation of various commonly used modalities and techniques namely body impedance analysis (BIA), dual-energy x-ray absorptiometry (DXA) as well as single slice CT to establish how these methods compare.
    Methods: We designed the study in two parts. First, we performed an intra-individual comparison of the 4558 participants from the UK Biobank cohorts with matching data of MRI abdominal body composition, DXA with VAT estimation, and BIA. Second, we evaluated 174 CT scans from the publicly available dataset to assess the correlation of the commonly used single-slice technique compared to three-dimensional VAT volume.
    Results: Across the UK Biobank cohort, the DXA-derived VAT measurement correlated better (R
    Conclusion: When deployed at scale, DXA-derived VAT volume measurement shows excellent correlation with three-dimensional volume on MRI based on the UK Biobank cohort. Whereas a single slice CT technique demonstrated moderate correlation with three-dimensional volume on CT, with a stronger correlation achieved when multiple levels were combined.
    MeSH term(s) Humans ; Intra-Abdominal Fat/diagnostic imaging ; Absorptiometry, Photon/methods ; Electric Impedance ; Obesity ; Tomography, X-Ray Computed
    Language English
    Publishing date 2023-07-11
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2592084-4
    ISSN 1664-2392
    ISSN 1664-2392
    DOI 10.3389/fendo.2023.1211696
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  10. Article ; Online: Photon-Counting CT Material Decomposition in Bone Imaging.

    Bhattarai, Abhisek / Tanaka, Ray / Yeung, Andy Wai Kan / Vardhanabhuti, Varut

    Journal of imaging

    2023  Volume 9, Issue 10

    Abstract: The accurate screening of osteoporosis is important for identifying persons at risk. The diagnosis of bone conditions using dual X-ray absorptiometry is limited to extracting areal bone mineral density (BMD) and fails to provide any structural ... ...

    Abstract The accurate screening of osteoporosis is important for identifying persons at risk. The diagnosis of bone conditions using dual X-ray absorptiometry is limited to extracting areal bone mineral density (BMD) and fails to provide any structural information. Computed tomography (CT) is excellent for morphological imaging but not ideal for material quantification. Advanced photon-counting detector CT (PCD-CT) possesses high spectral sensitivity and material decomposition capabilities to simultaneously determine qualitative and quantitative information. In this study, we explored the diagnostic utility of PCD-CT to provide high-resolution 3-D imaging of bone microarchitecture and composition for the sensitive diagnosis of bone in untreated and ovariectomized rats. PCD-CT accurately decomposed the calcium content within hydroxyapatite phantoms (
    Language English
    Publishing date 2023-10-02
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2824270-1
    ISSN 2313-433X ; 2313-433X
    ISSN (online) 2313-433X
    ISSN 2313-433X
    DOI 10.3390/jimaging9100209
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