From surviving to thriving \u2014 precision care for every patient, every stage.<\/i><\/b><\/p>\n
Oncology is witnessing a paradigm shift with the integration of artificial intelligence and genomics, transforming the way cancers are detected, diagnosed, and treated. AI-powered tools are redefining tumour imaging, enabling greater accuracy in detection and risk stratification, while predictive models are offering clinicians deeper insight into disease progression and therapy response. Genomic-guided cancer care is moving from the laboratory bench to the bedside, creating real patient pathways where treatment decisions are tailored to individual molecular profiles.<\/span><\/p>\n Yet the evolution of oncology in the era of AI and genomics also raises important questions of accessibility, affordability, and long-term sustainability. This year’s Oncology track will critically examine the reality of AI in oncology \u2014 distinguishing genuine breakthroughs from hype \u2014 while showcasing patient-centred examples of genomic-guided care, from newer paradigms in precision oncology to holistic, whole-person cancer care that integrates pain management, palliative support, and integrative medicine.<\/span><\/p>\n <\/p>\n What delegates can expect:\u00a0<\/b><\/p>\n <\/p>\n Last year at Clinovate:<\/b><\/p>\n\n