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Dr Elaine Chan’s body of work strongly advances Sustainable Development Goal 3 (Good Health and Well-being) through innovations spanning digital pathology, artificial intelligence, oncology, infectious diseases, neurodegeneration, and public health. Her research integrates biomedical science with data-driven technologies to improve early diagnosis, risk prediction, and personalised treatment strategies, particularly in cancer and chronic diseases. Through the development of AI-based whole-slide image analysis systems and cloud-enabled diagnostic platforms, her publications also contribute to SDG 9 (Industry, Innovation and Infrastructure) by strengthening digital health infrastructure and enabling scalable, technology-driven healthcare solutions.

Her work in infectious disease screening (e.g., COVID-19 sample pooling), antimicrobial resistance, and environmental health further supports equitable public health interventions, aligning with SDG 10 (Reduced Inequalities) by improving access to diagnostics in resource-constrained settings. Collectively, her research portfolio demonstrates a sustained commitment to translating scientific discovery into practical solutions that enhance healthcare accessibility, system efficiency, and population health outcomes.