Computational Metabolomics for Clinical Research
Location: Online
The Computational Metabolomics for Clinical Research course led by Dr. Dinesh Barupal will cover innovative software, online tools and knowledge bases to analyze metabolomics datasets. Metabolomics enables discoveries of metabolic mechanisms and predictive biomarkers that can be translated into new prevention and treatment strategies for human diseases. Click here for more information.
Previous Courses
Harnessing the Power of Geoinformatics: A Mount Sinai 2-Day Workshop
Dates: May 29 and 30, 2025
Location: Online or In person, Annenberg Building, 1468 Madison Avenue, Classroom A5-212
Discover the potential of geoinformatics in healthcare! This two-day workshop explores GIS technologies and spatial data analysis for improving healthcare outcomes. Led by experts from Mount Sinai’s Icahn School of Medicine, including Dr. Itai Kloog and Dr. Mike He, it is ideal for clinicians and researchers interested in leveraging spatial data for public health research. No previous GIS knowledge is necessary.
Machine Learning in Public Health: A Mount Sinai 2.5 Day Workshop
Dates: July 7 and 8, 2025, 9:00 am – 5:00 pm; July 9, 9:00 am – Noon
Location: Online or In person, Annenberg Building, 1468 Madison Avenue, Classroom A5-212
Unlock the power of machine learning in healthcare! Join us for a two-day workshop focused on applying machine learning techniques to address critical issues in public health. Led by Dr. Vishal Midya, this workshop is perfect for clinicians and researchers seeking to develop or enhance their understanding of machine learning’s role in healthcare research innovation.