Search Results - "O’Brien, Mitchell J."

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    A large deletion on CFA28 omitting ACSL5 gene is associated with intestinal lipid malabsorption in the Australian Kelpie dog breed by O’Brien, Mitchell J., Beijerink, Niek J., Sansom, Mandy, Thornton, Sarah W., Chew, Tracy, Wade, Claire M.

    Published in Scientific reports (26-10-2020)
    “…Inborn errors of metabolism are genetic conditions that can disrupt intermediary metabolic pathways and cause defective absorption and metabolism of dietary…”
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    Journal Article
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    PEPS: Polygenic Epistatic Phenotype Simulation by Reguant, Roc, O'Brien, Mitchell J, Bayat, Arash, Hosking, Brendan, Jain, Yatish, Twine, Natalie A, Bauer, Denis C

    “…Genetic data is limited and generating new datasets is often an expensive, time-consuming process, involving countless moving parts to genotype and phenotype…”
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    An Approach for Generating Realistic Australian Synthetic Healthcare Data by Diouf, Ibrahima, Grimes, John, O'Brien, Mitchell J, Hassanzadeh, Hamed, Truran, Donna, Ngo, Hoa, Raniga, Parnesh, Lawley, Michael, Bauer, Denis C, Hansen, David, Khanna, Sankalp, Reguant, Roc

    “…Healthcare data is a scarce resource and access is often cumbersome. While medical software development would benefit from real datasets, the privacy of the…”
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    Privacy-hardened and hallucination-resistant synthetic data generation with logic-solvers by Burgess, Mark A, Hosking, Brendan, Reguant, Roc, Kaphle, Anubhav, O'Brien, Mitchell J, Sng, Letitia M. F, Jain, Yatish, Bauer, Denis C

    Published 22-10-2024
    “…Machine-generated data is a valuable resource for training Artificial Intelligence algorithms, evaluating rare workflows, and sharing data under stricter data…”
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    Journal Article