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          <dc:title>Rabia Rao: Connecting the Pieces: Turning Human Signals into AI Insight for Earlier Understanding and Autism Screening</dc:title>
          <dc:creator>Rabia Rao (17746017)</dc:creator>
          <dc:subject>Health informatics and information systems</dc:subject>
          <dc:subject>Digital health</dc:subject>
          <dc:subject>Machine learning not elsewhere classified</dc:subject>
          <dc:subject>Artificial Intelligence</dc:subject>
          <dc:subject>Autism</dc:subject>
          <dc:subject>Machine Learning</dc:subject>
          <dc:subject>Digital Health</dc:subject>
          <dc:subject>Autism Screening</dc:subject>
          <dc:subject>Human-Centred AI</dc:subject>
          <dc:subject>Healthcare Technology</dc:subject>
          <dc:subject>Quality of Life</dc:subject>
          <dc:subject>Neural Networks</dc:subject>
          <dc:subject>Health Informatics</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This artwork visualises my doctoral research exploring how Artificial Intelligence can transform complex autism data into meaningful understanding of people’s experiences and quality of life. The four faces represent the diversity of people and experiences across the autism spectrum, while the interconnected puzzle pieces forming the brain represent complexity and individuality. Vibrant colours reflect diverse perspectives, while the growing leaves and branches symbolise development, hope and knowledge emerging from research. At the centre, a child, family and clinician represent the people behind the data. Neural networks and digital elements represent AI integrating diverse information to uncover meaningful patterns. The surrounding researchers symbolise collaboration between technology, science and human expertise. The tablet represents translating AI research into accessible, real-world digital tools. Together, these elements portray a journey from diverse human experiences and data to AI-enabled understanding and meaningful human impact.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-30T20:41:59Z</dc:date>
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