2023 Friday Satellite Symposia: Preceding the 65th ASH Annual Meeting and Exposition
December 8, 2023
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Reflective Case-Based Oncology Collective: Real-World Applications of Novel Therapies Across TNBC and Addressing Disparities in Care
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Burst CME™ - Part III – Advent of HER3 Targeted Approaches and Rationale in Breast Cancer Care
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Burst CME™ - Part II – Advent of HER3 Targeted Approaches and Rationale in NSCLC Care
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Burst CME™ - Part I – Overview of Pathophysiology, Diagnosis, and Management of HER3 Expressing Cancers
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Translating New Evidence into Treatment Algorithms from Frontline to R/R Multiple Myeloma: How the Experts Think & Treat
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Patient, Provider, and Caregiver Connection™: Challenges in Diagnosis and Management for Patients with ADHD During the COVID-19 Pandemic
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Patient, Provider, and Caregiver Connection™: Incorporating the Patient Journey into HS Diagnosis and Management Practices
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Diagnostic Tool That Identifies Patients Suitable for Keytruda Treatment Gets Latest FDA Approval
November 14, 2023PD-L1 IHC 22C3 pharmD approved to help identify patients who may be eligible to receive treatment with pembrolizumab (Keytruda) to treat gastric or gastroesophageal junction adenocarcinoma.
Q&A with Amy West, Head of US Digital Health & Innovation Strategy at Novo Nordisk
Amy West, Head of US Digital Health & Innovation Strategy at Novo Nordisk, shares her insights on fostering collaboration, embracing change, and her compelling vision to revolutionize digital transformation and innovation in the field of healthcare.
An Evolving ‘Opinion’ Landscape: New Paths—and Synergies—for Pharma KOLs & DOLs
Industry experts discuss the relationship between digital and traditional (key) opinion leaders and how companies are adjusting their strategies to harness the unique brand engagement benefits each role can provide in driving better patient outcomes.
What Pharma Fears Most About AI
In this Q&A with Pharmaceutical Executive®, Andrew Hopkins, founder and CEO of Exscientia, reveals how artificial intelligence (AI) is currently being utilized in the pharma industry, predictions for where AI can be implemented in the future, and what pharma fears most about AI.