Showing 121 - 140 results of 5,164 for search '(((pinn OR pina) OR find) OR ((aina OR ((spinka OR sspinaa) OR spingao)) OR pin))', query time: 0.21s Refine Results
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    Health and disease phenotyping in old age using a cluster network analysis by Valenzuela, Jesus Felix, Monterola, Christopher, Tong, Victor Joo Chuan, Ng, Tze Pin, Larbi, Anis

    Published 2018
    “…Hierarchical ordering of these clusters identified six common themes based on interactions with physiological systems and common underlying substrates of age-associated morbidity and disease chronicity, functional disability, and quality of life. These findings provide a starting point for indepth analyses of ageing that incorporate immunologic, metabolomic and proteomic biomarkers, and ultimately offer low-level-based typologies of healthy and unhealthy ageing.…”
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    Journal Article
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    Nanotechnology in food production: a comprehensive bibliometric analysis using R-package by Rajendran, Salini Devi, Wahab, Siti Norida, Yeap, Swee Pin, Kamarulzaman, Nitty Hirawaty, Abdul Halim Lim, Sarina

    Published 2023
    “…According to our findings, the number of publications on nanotechnology in food production has increased dramatically since 2003. …”
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    Article
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    MAS.630 Affective Computing, Spring 2002 by Picard, Rosalind W.

    Published 2002
    Subjects: “…Neuroscience findings…”
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    Learning Object
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    Aptamer-based detection of foot-and-mouth disease virus using single-stranded DNA probe by Nordin, Nor Aina, Soon, Samson, Senawi, Jamaliah B., Jinin, Zurin Azlin M., Arshad, Siti Suri, Abd Rahaman, Yasmin, Azri, Farah Asilah

    Published 2024
    “…The binding strength analyzed using the equilibrium dissociation constant (Kd) showed strong binding affinity at 3.092 ± 0.05 nM. Based on these findings, the method shows significant potential with high sensitivity and specificity for FMD virus detection assay.…”
    Article
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    Predicting cognitive scores from wearable-based digital physiological features using machine learning: data from a clinical trial in mild cognitive impairment by Rykov, Yuri G., Patterson, Michael D., Gangwar, Bikram A., Jabar, Syaheed B., Leonardo, Jacklyn, Ng, Kok Pin, Kandiah, Nagaendran

    Published 2024
    “…The model predicted the actual executive function scores with correlation r = 0.69 and intra-individual changes in executive function scores with r = 0.61. Conclusions: Our findings demonstrated that wearable-based physiological measures, primarily HRV, have potential to be used for the continuous assessments of cognitive function in individuals with MCI.…”
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    Journal Article
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