Back to all news

NIH Grant Funds AI Tool for Lung Cancer Discovery at Weill Cornell

EurekAlertResearch
NIH Grant Funds AI Tool for Lung Cancer Discovery at Weill Cornell

Dr. Olivier Elemento receives an NIH Pioneer Award to develop an AI-human hybrid platform for cancer research, initially focusing on lung cancer using imaging and tissue data.

Key Details

  • 1Dr. Olivier Elemento (Weill Cornell) awarded an NIH Director's Pioneer Award for nearly $6 million over five years.
  • 2The AI system will generate and test biological hypotheses using large language models and robotic high-throughput experiments on human cells and organoids.
  • 3The project starts with lung cancer, utilizing CT scan findings and molecular/cellular tumor data.
  • 4The platform intends to automate scientific discovery cycles with human oversight, with the long-term goal of expanding to other cancers.
  • 5Scientists will supervise AI to ensure experiment quality, safety, and ethical compliance.
  • 6The system seeks to identify new mechanisms and treatment targets, particularly in early-stage lung cancer progression.

Why It Matters

This initiative could dramatically accelerate translational discovery in oncology, leveraging AI and imaging data (including CT scan findings) to generate testable, patient-relevant hypotheses. The work points to a future in which radiology and molecular data are jointly harnessed to drive precision medicine research at scale.

Ready to Sharpen Your Edge?

Subscribe to join 11k+ peers who rely on RadAISlice. Get the essential weekly briefing that empowers you to navigate the future of radiology.

We respect your privacy. Unsubscribe at any time.