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The Molecular Twin Platform: A Multi-Omic Approach for Predicting Accurate Clinical Outcomes

Offered By: Labroots via YouTube

Tags

Precision Medicine Courses Artificial Intelligence Courses Bioinformatics Courses Machine Learning Courses Oncology Courses Biomarkers Courses

Course Description

Overview

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Explore a cutting-edge webinar presented by Dr. Arsen Osipov, a GI medical oncologist and Program Lead at Cedars-Sinai. Delve into the Molecular Twin Platform, a groundbreaking proof-of-principle system that integrates multiple clinical and molecular data sources from both tumor and host. Learn how this platform leverages AI and machine learning to identify specific multi-omic biomarker panels with high predictive power for disease survival outcomes. Gain insights into the potential of this multi-omic approach to revolutionize clinical outcome predictions and advance precision medicine in oncology.

Syllabus

The Molecular Twin Platform: A multi-omic approach for predicting accurate clinical outcomes


Taught by

Labroots

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