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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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    Towards an optimal and unbiased approach for tumor cell isolation by Sajay, Bhuvanendran Nair Gourikutty, Chang, Chia-Pin, Ahmad, Hamizah, Chung, Wong Chee, Puiu, Poenar Daniel, Rahman, Abdur Rub Abdur

    Published 2013
    “…This approach achieves an average of >90 % recovery of spiked tumor cells and >99 % total WBC depletion in whole blood across multiple cell lines, in a simple and easy-to-use assay. The results presented herein and ongoing improvements aim to fulfill the need for a highly reliable, unbiased, standardized, and optimized CTC isolation platform, using component technologies that are validated for cell isolation.…”
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    Journal Article
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