AI, HER2-Low, and the Future of Precision Oncology
MD Newsline
In this episode of MD Newsline, Dr Frederick Howard, breast oncologist at the University of Chicago and leader of a research group focused on AI-driven biomarker development, explores the rapidly evolving role of artificial intelligence in breast cancer care. Dr. Howard provides a comprehensive overview of how AI is being integrated into oncology—from radiographic imaging and digital pathology to clinical decision support and language models. He discusses both the promise and the practical challenges of deploying AI tools in real-world workflows, including validation standards, regulatory...
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Late-Stage Breast Cancer Diagnosis Among Black Women in the Mid-South
MD Newsline
In this episode of MD Newsline, Dr. Janeane N. Anderson, Assistant Professor at the University of Tennessee Health Science Center and breast cancer researcher, shares insights from the ACCESS Study—an innovative qualitative research initiative focused on understanding why Black women in the Mid-South region are disproportionately diagnosed with advanced-stage breast cancer. Dr. Anderson discusses structural barriers, community-based recruitment strategies, and the importance of centering lived experiences in oncology research. She also highlights the critical need for equitable research...
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Understanding Cancer Disparities, Mistrust, and Access to Care
MD Newsline
In this episode of MD Newsline, Dr. Jordonna Brown, a medical oncologist at Kings County Hospital in New York City, shares her frontline experience caring for patients in a safety-net hospital setting. Speaking from the San Antonio Breast Cancer Symposium (SABCS), Dr. Brown discusses cancer disparities, late-stage presentation, mistrust in the healthcare system, and the evolving landscape of breast cancer treatment. She offers a candid look at the social determinants of health shaping patient outcomes—from delayed screening and misconceptions about chemotherapy to barriers in long-term...
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Inflammation and Resistance in MDS & AML: Targeting the JAK-STAT Axis
MD Newsline
In this episode of MD Newsline, Dr. Theodoros Karantanos, Assistant Professor of Medical Oncology at the Johns Hopkins University Sidney Kimmel Cancer Center, discusses the emerging role of inflammatory signaling in high-risk myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML). Dr. Karantanos shares insights from his laboratory research exploring how inflammatory pathways—particularly interferon gamma and JAK-STAT signaling—contribute to treatment resistance, including resistance to venetoclax. He also highlights the impact of TP53 mutations, bone marrow microenvironment...
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Host Factors in Immunotherapy: How Sex, Aging, and Lifestyle Shape Cancer Outcomes
MD Newsline
In this episode of MD Newsline, Dr. Marco Ruella, Associate Professor of Medicine at the University of Pennsylvania and Scientific Director of the Lymphoma Program, joins us from the American Society of Hematology (ASH) meeting to discuss a paradigm-shifting topic: host factors in cancer immunotherapy. Dr. Ruella explores how biological sex, aging, chronic inflammation, obesity, exercise, and the microbiome influence responses to therapies such as checkpoint inhibitors and CAR T-cell therapy. The conversation highlights emerging data, translational research, and the growing need to...
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What’s Next for CAR-T Cells? In Vivo Design, Toxicity, and Persistence
MD Newsline
In this episode of MD Newsline, Dr. Dejah Blake, a fifth-year PhD candidate at Emory University, joins us from the American Society of Hematology (ASH) conference to discuss the rapidly evolving landscape of CAR T-cell therapy. Dejah shares insights into engineering next-generation CAR T cells, improving accessibility through in vivo manufacturing, and addressing diversity gaps in clinical research. From armored CARs to gene editing and humanized mouse models, this conversation explores how innovation and equity must move forward together in advancing cancer immunotherapy. Episode...
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The Psychology of Prevention: Behavioral Strategies for Better Health Outcomes
MD Newsline
In this episode of MD Newsline, behavioral scientist Dr. Josh Klapow, registered dietitian Kim Shapira, and health advocate Sishman Rimpson explore the powerful connection between psychology, nutrition, and long-term health outcomes. Together, they unpack how behavioral patterns, mindset, and sustainable lifestyle changes influence chronic disease prevention and patient adherence. The discussion highlights the real-world challenges patients face when attempting to modify diet, physical activity, and stress management—and how healthcare professionals can better support lasting change...
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Beyond Statins: Modern Cholesterol Care, Risk Assessment, and the Future of Lipid Therapy
MD Newsline
In this episode of MD Newsline, Dr. Amber Johnson, Assistant Professor of Medicine and General Cardiologist at the University of Chicago, provides an in-depth look at modern cholesterol management and cardiovascular risk reduction. She discusses evolving lipid guidelines, aggressive LDL-C targets, statin intolerance, and the growing role of non-statin therapies. Dr. Johnson also explores emerging research on lipoprotein(a), hypertriglyceridemia, and future directions in lipid-lowering treatment. Episode Highlights Evolving Cholesterol Management and ASCVD Risk Dr. Johnson explains how...
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Man Enough to Feel: Breaking the Stigma Around Men’s Mental Health
MD Newsline
In this episode of MD Newsline, a distinguished panel of physicians, mental health leaders, former professional athletes, and performance coaches come together for a powerful discussion on men’s mental health, vulnerability, and emotional wellbeing. The conversation explores how traditional definitions of masculinity impact mental health, performance, relationships, and help-seeking behaviors—and why redefining strength is critical for future generations. Panelists include Dr. Mike Banna, Dominique Easley, Jason Sousa, Dr. Nate Evans Jr., and Dr. Pete Thomas, each bringing unique...
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Understanding Alzheimer’s Disease: Biomarkers and Early Detection
MD Newsline
In this episode of MD Newsline, Dr. Rudolph J. Castellani, a neuropathologist and Director of the Division of Neuropathology at Northwestern University, offers a deep dive into the biology, diagnosis, and ongoing controversies surrounding Alzheimer’s disease. He explores how Alzheimer’s is defined clinically and pathologically, the evolving role of biomarkers in early detection, and why modifying biomarkers has not yet translated into meaningful clinical improvement for patients. Dr. Castellani also discusses the promise and limitations of artificial intelligence, personalized medicine,...
info_outlineIn this episode of MD Newsline, Dr Frederick Howard, breast oncologist at the University of Chicago and leader of a research group focused on AI-driven biomarker development, explores the rapidly evolving role of artificial intelligence in breast cancer care.
Dr. Howard provides a comprehensive overview of how AI is being integrated into oncology—from radiographic imaging and digital pathology to clinical decision support and language models. He discusses both the promise and the practical challenges of deploying AI tools in real-world workflows, including validation standards, regulatory guardrails, and ethical considerations.
The conversation also dives into emerging applications such as AI-based HER2 quantification, recurrence risk prediction from H&E slides, and the potential for multimodal models to transform precision medicine.
Episode Highlights:
AI in Radiology and Mammography
Dr. Howard explains the evolution from early computer-aided detection systems to modern deep learning algorithms trained on millions of mammograms. He discusses emerging AI-driven breast cancer risk prediction tools derived directly from imaging and how they may enhance early detection strategies.
Digital Pathology and Biomarker Development
AI tools are increasingly capable of quantifying immunohistochemistry and identifying features beyond human visual interpretation. Dr. Howard highlights research presented at major oncology meetings demonstrating improved concordance in HER2-low classification and improved reproducibility in biomarker scoring.
Predicting Recurrence Risk Without Genomic Testing
One of the most promising areas involves AI models trained on H&E slides to predict recurrence risk—potentially matching or exceeding established genomic assays such as Oncotype DX and MammaPrint. Dr. Howard discusses the validation challenges required before these tools can replace or complement genomic testing in clinical practice.
HER2-Low Classification and Antibody-Drug Conjugates
The discussion explores limitations of traditional HER2 immunohistochemistry, especially at the lower end of expression. AI-based quantitative approaches may improve patient stratification for HER2-directed antibody-drug conjugates, though questions remain about predictive thresholds and biological mechanisms.
Language Models in Oncology Practice
Dr. Howard examines the growing use of large language models for literature review, documentation support, and clinical trial matching. He emphasizes the need for HIPAA-compliant systems, clinician oversight, and standardized evaluation frameworks to ensure safe and responsible deployment.
Ethics, Governance, and Over-Reliance
From data privacy to clinical accountability, the episode addresses the ethical considerations surrounding AI in cancer care. Dr. Howard cautions against over-reliance on AI systems and underscores the importance of maintaining clinician expertise and critical thinking.
The Future: Multimodal AI and Precision Medicine
Looking ahead, Dr. Howard envisions a future where digital pathology, genomics, imaging, and clinical data converge into multimodal AI systems capable of delivering truly personalized treatment recommendations. He stresses that large-scale data sharing and collaboration will be essential to realizing this potential.
Key Takeaway
Artificial intelligence is no longer theoretical in oncology—it is actively shaping diagnostics, risk stratification, and treatment selection in breast cancer. However, rigorous validation, ethical governance, and thoughtful integration into clinical workflows are critical to ensuring that AI enhances—rather than replaces—expert clinical judgment.
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