AI-Driven Pathological Subtyping for Pancreatic Cancer: Moving From Promise to Practical Application

AI-Driven Pathological Subtyping for Pancreatic Cancer: Moving From Promise to Practical Application

From Oncology Data Advisor by i3 Health

May 4, 2026 · 14 min

About this episode

Dr. Ashish Manne discusses the transition of AI-driven pathological subtyping in pancreatic cancer from theoretical promise to practical application.

Read the full article at: https://oncdata.com/ai-driven-pathological-subtyping-pancreatic-cancer-ashish-manne Artificial intelligence (AI) continues to generate excitement across oncology, but its real-world clinical impact remains uneven. In this episode of Exploring AI in Oncology, Dr. Ashish Manne, a Gastrointestinal Medical Oncologist at The Ohio State University Comprehensive Cancer Center, Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, shares his American Association for Cancer Research (AACR) presentation on AI-driven pathological subtyping in pancreatic cancer and highlights a critical shift: moving AI from theoretical promise to practical application.

People in this episode

Guest: Dr. Ashish Manne

Topics covered

  • AI in oncology
  • pathological subtyping
  • pancreatic cancer
  • clinical application
  • oncology research

Keywords

  • artificial intelligence
  • pancreatic cancer
  • pathological subtyping
  • oncology
  • clinical impact
  • AACR
  • medical oncology

Mentioned in this episode

Organizations: The Ohio State University Comprehensive Cancer Center, Arthur G. James Cancer Hospital, Richard J. Solove Research Institute, American Association for Cancer Research, AACR

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