This episode of the Vurge features Nasim Eftekhari, Chief AI and Analytics Officer at City of Hope, discussing her journey from computer science into healthcare and her leadership in AI-driven innovation within oncology. Eftekhari shares how her team developed predictive models for clinical decision support, including sepsis prediction for bone marrow transplant patients and models for surgical complications and mortality, all fully integrated with their EHR. She details the evolution of these models from traditional machine learning to generative AI, highlighting the development and impact of HOPE LLM—a domain-specific large language model trained on oncology and biomedical data.
Eftekhari’s insights into AI governance are especially relevant. She describes City of Hope’s robust, multidisciplinary governance framework that balances innovation with risk management, ensuring ethical and responsible AI deployment. She also emphasizes the importance of fostering a culture of innovation, collaboration with other leading cancer centers, and the need for IT teams to proactively adapt to AI’s impact on roles and workflows. She concludes with optimism about AI’s future in drug discovery, multimodal disease understanding, and the transformation of healthcare operations, while urging a balanced approach to both the excitement and limitations of AI.
Learn more about Nasim on LinkedIn.
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