Advancements in Targeted Therapies for HR+/HER2-Negative Metastatic Breast Cancer: Exploring AKT, PI3K, and Or...
1.0 Credit / Oncology, Breast Cancer, Women’s Health
View More
Strategies for Addressing Cardiovascular Disease, Diabetes, and Chronic Kidney Disease With SGLT2 Inhibitors
1.0 Credit / Endocrinology, Diabetes & Metabolism
View More
Pharmacist Services to Populations at Risk for HIV: Improving Access and Uptake of Preexposure Prophylaxis
1.0 Credit / HIV/AIDS
View More
Recent Developments in the Management of Heart Failure With Preserved Ejection Fraction
1.0 Credit / Cardiology
View More
Pneumococcal Disease Prevention for Older Adults and the Pharmacist’s Role in an Evolving Vaccine Landscape
1.0 Credit / Immunization, Infectious Diseases
View More
Therapies in Lowering LDL-Cholesterol Levels for the Primary and Secondary Prevention of Atherosclerotic Cardi...
0.75 Credit / Cardiology
View More
Eyeing Up OTC Products for Allergic Conjunctivitis: The Pharmacist’s Role in Personalizing Treatment Selection
1.0 Credit / Allergy, Ophthalmology/Optometry, OTC
View More
Updated Guidelines in the Management of Atrial Fibrillation and Application for Pharmacists
1.5 Credits / Cardiology
View More
An Overview of Intravenous Iron in Heart Failure and the FAIR-HF2 Trial
Host Craig Beavers sits down with Kazuhiko Kido, PharmD, a clinical associate professor at the West Virginia University School of Pharmacy, to discuss intravenous iron and its use in patients with heart failure.
ASCO 2025: Using Discrete Choice Data to Support Personalized Pharmacy Counseling in ALK+ NSCLC
June 30th 2025Christopher Danes, PhD, discusses how discrete choice experiment data reveal key differences in patient and caregiver treatment preferences for ALK-positive (ALK+) non–small cell lung cancer (NSCLC) and how pharmacists can use these insights to guide shared decision-making, optimize supportive care, and personalize adherence strategies.
ASCO 2025: How AI-Powered Tools Are Reshaping Oncology Data Capture and Clinical Decision-Making
June 30th 2025Gayathri Namasivayam, PhD, discusses how large language models are being used to extract structured oncology data from unstructured electronic health records to improve clinical efficiency, support real-world evidence generation, and enhance oncology pharmacy workflows.