In this AI-powered precision learning activity, learners will work through real-world scenarios that require integration of biomarker testing results, current clinical evidence, and patient-specific characteristics to guide personalized frontline treatment decisions including the choice between fixed-duration and continuous treat-to-progression approaches. Throughout the activity, learners will further be challenged to tailor therapy for older and medically complex patients and apply evidence-based multidisciplinary strategies to monitor and manage treatment-emergent toxicities in support of treatment continuity and optimal patient outcomes.
In this CE Concepts AI-powered precision learning activity, expert faculty will examine the biologic rationale, emerging clinical evidence, and practical implementation strategies for BCMA bispecific antibody–CD38 antibody combinations in RRMM, with emphasis on patient selection, sequencing, toxicity management, and integration into evolving earlier-line treatment pathways.
In this CE Concepts AI-enabled clinical simulation, learners are immersed in real-world MIBC scenarios where they must evaluate evidence, navigate cisplatin eligibility and treatment selection, engage in shared decision-making with individuals facing curative-intent choice, and manage treatment/immune-related adverse events – thereby building the clinical fluency required to deliver evidence-based, patient-centered care.
