Showing 5,941 - 5,960 results of 24,535 for search 'LiveAD~', query time: 5.31s Refine Results
  1. 5941

    Artificial intelligence assisted risk prediction in organ transplantation: a UK Live-Donor Kidney Transplant Outcome Prediction tool by Hatem Ali, Arun Shroff, Tibor Fülöp, Miklos Z. Molnar, Adnan Sharif, Bernard Burke, Sunil Shroff, David Briggs, Nithya Krishnan

    Published 2025-12-01
    “…Introduction: Predicting the outcome of a kidney transplant involving a living donor advances donor decision-making donors for clinicians and patients. …”
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  2. 5942
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  4. 5944

    Development and validation of risk models to predict chronic kidney disease among people living with HIV: protocol for a systematic review by A P Kengne, Adesola Z Musa, Babatunde L Salako, Nasheeta Peer, Oluwatosin Olaseni Odubela, Nkiruka Odunukwe

    Published 2022-07-01
    “…Introduction Chronic kidney disease (CKD) is estimated to affect about 9.1% of the global population with a substantially increased risk of the condition (6.8%–17.2%) among people living with HIV (PLWH). This increased risk is attributed to HIV infection itself, antiretroviral therapy, coexisting viral infections, non-infectious comorbidities and traditional risk factors for CKD. …”
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  5. 5945
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  8. 5948

    Effectiveness of non-pharmacological interventions to decrease fatigue in people living with HIV/AIDS: a protocol of systematic review and meta-analysis by Min Wang, Xueling Xiao, Honghong Wang, Nancy R Reynolds, Leorey Saligan, Yunxiao Lei

    Published 2020-09-01
    “…Introduction Fatigue is a common symptom among people living with HIV (PLWH). It has a substantial adverse impact on functional status and the ability to conduct activities of daily living. …”
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    Article
  9. 5949

    A Simple, Fast, and Inexpensive Simultaneous Determination of Trace Bismuth(III) and Lead(II) in Water Samples by Adsorptive Stripping Voltammetry by Malgorzata Grabarczyk, Marzena Adamczyk

    Published 2017-01-01
    “…The calibration graph was linear from 2 × 10−9 mol L−1 to 1 × 10−7 mol L−1 for the simultaneous presence of bismuth and lead. …”
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  10. 5950

    Investigating papillary thyroid cancer risk factors among women living at the central region of Iran: a case–control study by Hamed Ghoshouni, Saeed Hosseini, Akram Ghadiri-Anari, Reyhaneh Azizi, Masoud Rahmanian, Narjes Hazar

    Published 2025-01-01
    “…The aim of present study was to investigate the risk factors of thyroid cancer among women living in this province. Methods The present study was carried out as a case–control study, comprising women diagnosed with papillary thyroid cancer (PTC) as the case group, along with two distinct control groups sourced from different origins (i.e., relatives and non-relatives) between 2020 and 2022. …”
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  11. 5951

    Random Whole Body Vibration over 5 Weeks Leads to Effects Similar to Placebo: A Controlled Study in Parkinson’s Disease by Heiko Gaßner, Annette Janzen, Ansgar Schwirtz, Petra Jansen

    Published 2014-01-01
    “…Random whole body vibration (WBV) training leads to beneficial short-term effects in patients with Parkinson’s disease (PD). …”
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  12. 5952
  13. 5953

    How do age and sex influence pain threshold and tolerance among Santal tribal people living in West Bengal, India? by Arpita Santra, Subrata Kumar Roy, Monali Goswami, Diptendu Chatterjee

    Published 2025-01-01
    “…This study incorporated 484 healthy Santal tribal individuals aged 18–88 years (male 203 and female 281) living in Howrah and Purba Bardhaman Districts of West Bengal State, India, who reported no chronic or significant pain at the time of data collection. …”
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  14. 5954

    Timely Attendance of the First Antenatal Care among Pregnant Women Aged 15–49 Living with HIV in Juba, South Sudan by Angelina Nasira Boi, Jonathan Izudi, Fiona Atim

    Published 2022-01-01
    “…There is a paucity of data on timely first ANC attendance and its associated factors among pregnant women living with human immunodeficiency virus (HIV) in Juba. …”
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  20. 5960

    Fluo-Cast-Bright: a deep learning pipeline for the non-invasive prediction of chromatin structure and developmental potential in live oocytes by Xiangyu Zhang, Claudia Baumann, Rabindranath De La Fuente

    Published 2025-01-01
    “…Here, we developed a deep learning pipeline for the non-invasive prediction of chromatin structure and developmental potential in live mouse oocytes. Our Fluorescence prediction and Classification on Bright-field (Fluo-Cast-Bright) pipeline achieved 91.3% accuracy in the classification of chromatin state in fixed oocytes and 85.7% accuracy in live oocytes. …”
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