Sam and Meg Lubner on Careers in Cancer Care, How Oncologists and Radiologists Can Best Communicate, and How AI is Helping in Cancer Diagnosis and Treatment

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Our guests today are Sam and Meg Lubner. They are cancer doctors, and they are married!

Sam is a hematologist and oncologist at University of Wisconsin Health, and an associate professor at the University of Wisconsin School of Medicine and Public Health. Meg is a professor of radiology at the University of Wisconsin School of Medicine and Public Health in the section of abdominal imaging and intervention.

Meg and Sam discuss how physics, chemistry, biology, and data science come together in modern medicine. Through real-world examples—CT scans, genetic mutations in cancer, and the use of AI in medical imaging—students see how foundational science concepts are applied to diagnose disease, design treatments, and make evidence-based decisions.

Best fit for: High school biology, chemistry, physics, or interdisciplinary science; introductory college science courses Key themes: Scientific modeling, structure–property relationships, genetics, medical imaging, AI and ethics, science communication

*Susan introduces Sam Lubner, oncologist, and Meg Lubner, radiologist [0:38];

*Sam describes his unconventional path to medicine, from history major and sports radio to oncology [2:58];

*Sam discusses how his career evolved toward education, mentorship, and student leadership [5:19];

*Meg explains why radiology appealed to her, combining physics, chemistry, and patient care [7:44];

*Meg describes modern radiology, including image-guided procedures and patient interaction [10:05];

*Meg discusses the importance of mentorship and what made her teachers so influential [12:20];

*CT, ultrasound, MRI, fluoroscopy, and how different imaging tools answer different clinical questions [14:34];

*Life in the radiology reading room: collaboration, teaching, and learning in a shared space [16:48];

*Why physical proximity and shared workspaces matter for learning and patient care [19:02];

*Sam describes his roles as oncologist, fellowship director, and dean for students [21:21];

*The importance of understanding patients’ goals, quality of life, and side effects during cancer care [23:49];

*Team-based cancer care and close collaboration between oncologists, surgeons, and radiologists [26:07];

*Meg reflects on the emotional weight of oncology and Sam’s strengths as a communicator [28:32];

*Sam discusses compassion, physician wellness, and the human side of medical practice [30:54];

*Sam and Meg share insights from their talk on improving communication between oncologists and radiologists [32:19];

*Why word choice matters in radiology reports and how certain terms can alarm patients [34:41];

*The meaning of “progressive disease” and why precision in language is critical [37:04];

*Sam explains why clinicians should order imaging with clear hypotheses and specific questions [39:22];

*Radiologists as consultants: tailoring imaging and biopsies to clinical questions [41:43];

*Meg explains the physics behind CT scans and how ionizing radiation creates images [44:34];

*Hounsfield units, tissue density, and how radiologists distinguish cysts, tumors, fat, air, and bone [46:48];

*Radiology as “low-power microscopy” and the value of radiologic–pathologic correlation [49:16];

*Sam discusses targeted cancer therapies and genetic mutations such as KRAS [51:18];

*How basic biology, protein structure, and genetics drive modern cancer treatments [53:21];

*Meg explains how AI is currently used to triage imaging studies and detect urgent findings [55:40];

*AI tools for tumor detection, measurement, and automated image analysis [57:53];

*Opportunistic screening: extracting cardiovascular and metabolic risk data from CT scans [1:00:17];

*Bias, validation, and challenges in deploying AI tools in clinical practice [1:02:25];

*Advice for students interested in science: curiosity, persistence, and asking good questions [1:04: