Session

Machine Learning and Multi-Omics

Our application for Data Maker Fest explores the cutting-edge intersection of machine learning and multi-omics. Using advanced algorithms, we are deciphering complex biological data across multiple omics layers. Through multi-omics, our approach reveals hidden patterns, enabling breakthrough insights into human health and disease mechanisms. Our mission is to revolutionize the field of biotechnology through data-driven discovery. I will also present the challenges of data collection and processing before using it in ML algorithms.

Moiz Khan Sherwani

University of Copenhagen, Post Doc Researcher

Copenhagen, Denmark

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