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[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
Primary supervisor Sicily Fung Fung Ting Co-supervisors KokSheik Wong Dr Patrick Tan Hock Siew Prof. Qasim Ayub Dr. Sara Subhan Dr. Aswini L. Loganathan Research area Data Science and Artificial
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Primary supervisor David Dowe Co-supervisors Nenad Macesic Research area Data Science and Artificial Intelligence Antimicrobial resistance (AMR) is one of the most significant and immediate threats
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can be understood as a ‘technosocial system’ that connects the technical aspects of AI and Data Science with its social, cultural and humanistic values in deep, intrinsic ways. These 'human-centered
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can be understood as a ‘technosocial system’ that connects the technical aspects of AI and Data Science with its social, cultural and humanistic values in deep, intrinsic ways. These 'human-centered
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Learning; Data Science; Artificial intelligence; Machine learning; Antimicrobial resistance; Superbugs; Genomics Required knowledge Essential criteria: Minimum entry requirements can be found here
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Learning; Data Science; Artificial intelligence; Machine learning; Antimicrobial resistance; Superbugs; Genomics Required knowledge Essential criteria: Minimum entry requirements can be found here