AI in Oncology: Building Smarter Clinical Trials and Closing Data Gaps
Release Date: 01/20/2026
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. Arsela Prelaj, a thoracic oncologist and AI researcher at the Istituto Nazionale dei Tumori in Milan, Italy, explores the rapidly evolving role of artificial intelligence in oncology. Drawing from her background in medical oncology and bioengineering, Dr. Prelaj discusses how AI is revolutionizing clinical trial design, improving trial success rates, and expanding patient access to innovative therapies.
She shares real-world examples of how machine learning, large language models, and synthetic data are being integrated into cancer research, while also addressing ethical considerations, data fairness, and the future of AI-driven decision-making in medicine.
Episode Highlights
AI in Clinical Trial Design and Drug Development
Dr. Prelaj explains how AI tools are dramatically improving success rates in early-phase clinical trials. Technologies such as AlphaFold and predictive modeling are helping researchers identify promising drug targets, reduce trial failures, and optimize trial design before patients are enrolled.
Predicting Trial Success and Reducing Failure
AI-powered platforms can analyze historical clinical trial data to forecast the likelihood of success in Phase I, II, and III studies. Dr. Prelaj discusses how these insights benefit pharmaceutical companies, investigators, and ultimately patients by reducing exposure to ineffective treatments.
Virtual Trials and Real-World Data Integration
The conversation explores how virtual and pragmatic trial models leverage real-world data to simulate outcomes, relax restrictive inclusion criteria, and make trials more accessible to diverse patient populations—without compromising scientific rigor.
Clinical Trial Matching and Physician Efficiency
Dr. Prelaj highlights AI-driven clinical trial matching tools that can reduce physician workload by nearly 50%, helping clinicians quickly identify the most appropriate trials for individual patients while prioritizing those with the greatest potential benefit.
Patient Advocacy and AI-Powered Access to Trials
AI is empowering patients to actively participate in their care. Dr. Prelaj discusses patient-facing tools that allow individuals to identify relevant trials, initiate informed conversations with physicians, and advocate for access to cutting-edge treatments.
Data Democratization, Bias, and Fairness
The episode addresses critical challenges surrounding data governance, paywalled research, and underrepresentation in clinical trials. Dr. Prelaj explains how synthetic data and fairness auditing can help reduce disparities across race, ethnicity, and rare disease populations.
The Future of AI in Oncology: Agents and Digital Twins
Looking ahead, Dr. Prelaj shares her excitement about AI agents and digital twin models—dynamic systems that mirror real patients over time to support clinical decision-making, personalize treatment strategies, and enhance precision oncology.
Key Takeaway
Dr. Prelaj emphasizes that artificial intelligence is not replacing clinicians—but augmenting their expertise. By combining AI-driven insights with human judgment, oncology is entering a new era of smarter trials, more equitable care, and data-informed decision-making that has the potential to improve outcomes for patients worldwide.
Resources
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