Oncology Data Advisor

The mission of Oncology Data Advisor is to provide the multidisciplinary team with expert insights into clinical best practices and research progress in cancer care.

Oncology Data Advisor is a science podcast hosted by i3 Health, with 448 episodes on record and a Required Pod Score of 80.

i3 Health hosts Oncology Data Advisor, a science show with 448 episodes published.

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  Oncology Data Advisor

  Reimagining Oncology Education With Human-Guided AI

  Oct 1, 202621 min

  Read the full article here: https://oncdata.com/reimagining-oncology-education-with-ai New clinical trials, guideline updates, therapeutic approaches, and diagnostic technologies are continually reshaping how oncology clinicians learn and practice. For trainees preparing for board examinations and practicing clinicians seeking to stay current, conventional tools are not always sufficient to keep pace with the speed and volume of information. In this episode of Exploring AI in Oncology, Dr. Roupen Odabashian, Medical Oncologist at Abbotsford Regional Hospital, shares his path from hematology/oncology fellowship to building MeducationAI, an AI-enabled learning platform for cancer care professionals. His conversation with Dr. Waqas Haque explores the accelerating pace of oncology knowledge, the need for human oversight in AI-supported education, and how clinicians can develop practical AI literacy.

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  Oncology Data Advisor

  Clinical Trial Enrollment Barriers: Awareness Isn’t the Same as Access

  Sep 3, 202622 min

  Check out the full article at: https://oncdata.com/oncology-unfiltered-clinical-trial-enrollment-barriers While clinical trials represent the cutting edge of modern cancer therapy, significant disparities persist in determining who actually enrolls in them. In this episode of Oncology Unfiltered, Melissa Cotrona, Co-Founder and General Manager of i3 Health and Oncology Data Advisor, sat down with Editor in Chief Matthew Hadfield, DO, Medical Oncologist and Assistant Professor of Medicine at Brown University Legorreta Cancer Center, to unpack the practical, structural, and clinical hurdles that prevent eligible patients from accessing potentially lifesaving investigational therapies. Together, they explore how the oncology community can translate trial availability into meaningful access.

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  Oncology Data Advisor

  Building Trust in Real-World Evidence With AI and High-Quality Data

  Aug 11, 202614 min

  Read the full article at: https://oncdata.com/real-world-evidence-ai-in-oncology Artificial intelligence (AI) is rapidly transforming oncology research, but its impact depends on high-quality data. As researchers increasingly rely on real-world evidence (RWE) to complement clinical trials, ensuring that data is accurate, complete, and transparent has become just as important as developing new AI tools. In this episode of Exploring AI in Oncology, Waqas Haque, MD, MPH, Hematology/Oncology Fellow at the University of Chicago, speaks with Saamir Pasha, Senior Biostatistician at Ontada, about two complementary areas of innovation—the establishment of rigorous frameworks to assess the quality of oncology real-world data, and the exploration into how generative AI can accelerate complex biostatistical workflows while maintaining scientific rigor and regulatory transparency. Together, these efforts illustrate how AI is poised to enhance—not replace—the expertise required to generate reliable evidence in oncology.

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  Oncology Data Advisor

  One Size Fits One: Personalizing Cancer Prevention Through AI-Enhanced Imaging

  Aug 10, 202620 min

  Read the full article at: https://oncdata.com/personalizing-cancer-prevention-ai-enhanced-imaging As healthcare increasingly shifts from reactive treatment to proactive prevention, artificial intelligence (AI) is emerging as a powerful tool for identifying disease earlier and personalizing patient care. In this episode of Exploring AI in Oncology, Dr. Waqas Haque, Hematology/Oncology Fellow at the University of Chicago, spoke with Dr. Sean Raj, Chief Innovation Officer and Chief Medical Officer at SimonMed, about how AI is transforming cancer detection, risk assessment, and patient education. Their conversation highlights how advanced imaging technologies are helping patients gain earlier insights into their health while empowering clinicians with new tools for preventive care.

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  Oncology Data Advisor

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

  Aug 10, 202614 min

  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 inconsistent. 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 the critical shift that is moving AI from theoretical promise to practical application.

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