Multilingual acoustic word embeddings for zero-resource languages by Jacobs, Chrsitiaan

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Leveraging big data resources and data integration in biology: applying computational systems analyses and machine learning to gain insights into the biology of cancers by Sinkala, Musalula

“…We then leverage integrative computational systems analyses, network analyses and machine learning, to gain insights into the pathophysiology of pancreatic cancer and 32 other human cancer types. …”
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Disentangled representations in speech processing applications by Baas, Matthew

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Designing disclosure by Sangham, Irani

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Investigating the multifaceted host contribution to COVID-19 disease risk, progression and treatment: an integrative multi-omics network-based approach study by Agamah, Francis Adem

“…This involved evaluating existing computational integrative multi-omics network-based methods, determining their strengths and limitations, and adapting them to fit the aims of this project: identifying and characterizing biosignatures associated with various COVID-19 disease phases, as well as identifying drug repurposing candidates tailored for mild, moderate, and severe COVID-19 disease phases. …”
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Experiences and perceptions of primary health care students utilizing simulation laboratories by Nel, Natalie

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An analysis of the isiXhosa telephonic descriptors of cardiac arrest (ca) in a Western Cape emergency control centre by Mgidi, Sinethemba Alphius

“…Methodology: Data from the computer-aided dispatch (CAD) programme with a “medical” and "patient unresponsive" incident classification were collected for 12 months (January 2018, to December 2018). …”
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