AI and Big Data in Cancer will bring together leaders and innovators from academia, government and industry to discuss how to effectively translate AI-enabled technology, data, and analytic innovations into clinical practice and patient benefits for cancer care and research.

Abstracts are invited for selected talks and posters on the following session topics to supplement the invited lectures.

Technology applications in healthcare (cloud, voice, smart IoT, platform)
AI / ML algorithm development (NL analytics; pattern recognition; decision support etc)
Big data in oncology (clinical, research, real-world data)
AI applications in cancer research (drug and target discovery; genomics, phenomics)
AI applications in oncology care (diagnoses, clinical decisions support systems)
Policy, technology and operating model to enable and facilitate data sharing, data governance and cross-enterprise collaboration
Health economics, investment