The Liver Meeting 2020-Leon Schiff State-of-the-Art Lecture Using Innovation to Personalize the Care of Patients with PSC

Leon Schiff State-of-the-Art Lecture Using Innovation to Personalize the Care of Patients with PSC

Video Transcription

Video Summary

The video transcript discusses the research and findings of the Gastroenterology and Hepatology Committees at Meoclinic concerning the prediction of the development of bile duct disorders. The presenter highlights the application of a model to predict 5-year probability based on specific biological factors. They introduce a publicly available tool for assessing sensitivity in patients with these disorders. Deep Learning techniques are explored to better characterize and understand the disease, aiming to incorporate genetics and environmental factors into predictive models. The use of machine learning in analyzing metabolic directions in patients with bile duct disorders is also discussed. The presentation concludes with the analysis of alternative paths for treatment based on chemical interactions and biological functions. The collaborative efforts between international researchers aim to enhance understanding and treatment outcomes for patients with these conditions.

Keywords

Gastroenterology and Hepatology Committees

bile duct disorders

5-year probability prediction

biological factors

Deep Learning techniques

machine learning

treatment outcomes