Innovations in Precision Medicine for Liver Health: Hot Topics From 2023

Description

Supported by: Perspectum Ltd.

Organized by: Medscape

Presenters:

Vlad Ratziu, MD, PhD

Raymond T. Chung, MD

Nadege T. Gunn, MD, CPI

Precision medicine that incorporates advanced imaging and genetics, as well as tools like artificial intelligence has the potential to fuel a future of earlier disease detection, diagnosis, and selection of more targeted treatments. Are you aware of the innovations and application of precision medicine tools related to liver disease supported by the latest data? In this 60-minute live symposium, expert faculty will bring you up to date on key topics which include: approaches in precision medicine to assess the liver in health and disease and the latest data in 2023 supporting these approaches. Furthermore, faculty will provide their expert perspectives on the ways precision medicine can be applied in detecting, diagnosing, and treating patients with liver disease. During the Q&A session, you will have an opportunity to ask your questions, so join us in-person at our location in Boston or virtually on our live stream! 

Learning Objectives: Upon completion of this activity, participants will:

1. Have increased knowledge regarding the clinical utility of precision medicine approaches in liver health and disease, latest clinical data on precision medicine approaches that integrate imaging technology into liver disease assessment, diagnosis, and treatment, and the way that artificial intelligence can support clinical decision-making in liver disease.
2. Have greater competence related to Integrating noninvasive magnetic resonance imaging technology in the management of liver disease demonstrate greater confidence in their ability to Implement noninvasive tests in the assessment of patients with metabolic dysfunction-associated fatty liver disease/metabolic dysfunction-associated steatohepatitis (MAFLD/MASH) in a team-based environment incorporating perspectives of hepatology and radiology

CME Hours: Maximum of 1.0 AMA PRA Category 1 Credit

For more information and to register, visit: https://na.eventscloud.com/website/61001/