Available until June 16, 2029 - Online CME Course

This course is designed to prepare new and experienced preceptors with the skills needed to serve in the clinical faculty role. The course contains nine modules of topics identified by Mayo Clinic School of Health Sciences faculty that preceptors desire when working with students. Each module includes a pre and post-test, short article to read through, and a video to help you utilize the concepts when working with nurse practitioner and physician assistant students. You may work through the modules at your own pace, completing them at your convenience and refer to them as you need to in the future.

January 15 - 16, 2027 - Mayo Clinic Franke Education Center - Phoenix, Arizona

This course offers Live (in-person) and Livestream (virtual) attendance options

This course reviews current approaches to biliary disease management, including diagnostic imaging, endoscopic and interventional therapies, and laparoscopic and robotic common bile duct exploration. Participants learn evidence-based strategies for managing complex biliary conditions, preventing complications, improving patient outcomes, and developing successful biliary surgery programs.

June 3, 2026 - Lacrosse, Wisconsin

This course is an online course

This course provides practical education on bispecific antibodies (BsAbs), including mechanisms, clinical use, and community implementation. Participants will review dosing strategies, toxicity recognition and management (CRS, ICANS, infections), remote monitoring, and evidence-based workflows to safely deliver BsAbs in outpatient settings using real-world data.

January 15-16, 2027 - Scottsdale, AZ

This course offers Live (in-person) and Livestream (virtual) attendance options

The Transplant AI Symposium is a forward-looking, multidisciplinary program focused on the application of artificial intelligence across the transplant continuum—from donor evaluation and organ allocation to post-transplant monitoring and long-term outcomes. This two-day symposium brings together clinicians, researchers, data scientists, and industry leaders to explore cutting-edge advancements in AI, including predictive modeling, multimodal data integration, digital biomarkers, and real-world clinical implementation. Participants will gain practical insights into integrating AI into clinical workflows, addressing ethical and equity considerations, and leveraging cross-industry expertise from leading technology organizations. Through keynote presentations, focused sessions, and interactive discussions, attendees will be equipped to translate AI innovations into improved patient outcomes and more efficient, equitable transplant systems.

July 1, 2026- June 30, 2028

One of the premier peer-reviewed clinical journals in general and internal medicine, Mayo Clinic Proceedings is among the most widely read and highly cited scientific publications...

February 8 - 12, 2027 - Hyatt Regency Maui Resort & Spa - Lahaina, Hawaii

This course offers Live (in-person) and Livestream (virtual) attendance options

This interactive infectious disease CME course provides practical clinical updates on common challenges and emerging developments in the field. Expert faculty deliver case-based presentations with in-depth discussion and Q&A to improve knowledge, performance, and patient outcomes. Participants gain current, actionable insights for immediate clinical application.

November 6 - 7, 2026 - Mayo Clinic - Rochester, Minnesota

This course offers Live (in-person) and Livestream (virtual) attendance options

This symposium features evidence-based and cutting-edge diagnostic and treatment strategies for sports-related and musculoskeletal conditions. Expert lectures representing a spectrum of sports medicine fields provide the attendee with multidisciplinary information related to athletic injury evaluation, treatment, prevention, and return to play transition. Multiple educational formats are used, including case presentations, interactive Q&A sessions, as well as live demonstrations of physical examination, anatomy, ultrasound, and arthroscopy.