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.
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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…
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…
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…
Are you treating extrapulmonary neuroendocrine carcinomas based on where they start—or what they actually are? In this faculty follow-up to their i3 Health activity (Clinical Challenges in Extrapulmonary NEC: Expert Insights on Diagnosis, Treatment, and Emerging Targets), Andrew Hendifar, MD, and Danielle Hutchings, MD (Cedars-Sinai Medical Center), unpack why treating these rare, aggressive…
What if hitting prostate cancer earlier and harder is the key to delaying disease progression and sparing patients from invasive salvage therapies? In this follow-up to his i3 Health Virtual Tumor Board, Stephen Freedland, MD, Cedars-Sinai Medical Center, unpacks practice-changing data from ASCO that is actively reshaping care algorithms across the prostate cancer continuum. Dr. Freedland dives…
Chronic inflammatory demyelinating polyneuropathy (CIDP) presents significant challenges in both diagnosis and long-term disease management. As consensus definitions, emerging targeted therapies, and research into serologic biomarkers evolve, how can clinicians optimize individual care algorithms? In this follow-up discussion, Karissa Gable, MD, Duke University Medical Center, breaks down recent…
Read the full article here: https://oncdata.com/information-overload-and-the-portal-patient The way that patients receive medical information has changed dramatically. Through electronic health record portals, laboratory values, imaging reports, and pathology results often become available the moment they are finalized—sometimes before a physician has had the opportunity to review or discuss them.…
Read the full article here! 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…
Frontline treatment selection for newly diagnosed multiple myeloma (NDMM) is more complex than ever. With quadruplet regimens and anti-CD38 antibodies redefining the landscape, how do you choose the right therapy for each unique patient? In this exclusive preview, Ashley Chen, PharmD, BCOP (Fred Hutchinson Cancer Center), shares actionable insights on: 🔹The Nuances of Modern Selection: Balancing…
View the full article at: https://oncdata.com/oncology-unfiltered-tumor-board-vs-tuesday-afternoon Tumor boards play a pivotal role in oncology care. For clinicians, they represent the ideal environment: multiple specialists, shared context, and time to debate the gray areas that guidelines can’t fully capture. However, during a busy afternoon in the clinic, the plans developed in tumor boards…
