Bringing AI into Biomedicine
The recent surge in quantitative biomedical data enables us to use deep learning-based technologies for disease classification, diagnosis, the detection of biological mechanisms, and much more. Companies like Google and IBM Watson have started to invest heavily in biomedical research, using their state of the art AI algorithms to advance their work. In this webinar replay the Centre for Molecular Neurobiology in Hamburg (ZMNH) will explain how they are using deep learning to generate realistic biological data, powered by NVIDIA’s DGX-1.
Learn where and how deep learning is applied in biomedicine. The webinar will cover how to train and use reproducible deep learning workflows with large biological data sets on NVIDIA’s DGX-1.
In this webinar replay , you’ll learn:
- About potential applications of using deep learning to tackle problems inBiomedical Systems Biology.
- How leading research teams use DGX-1 to train and evaluate our models using quantitative Biomedical Data.
ONDEMAND WEBINAR REGISTRATION
Presented By
Mohamed Marouf
Scientific Researcher, Centre for Molecular Neurobiology – ZMNH in Hamburg, Institute of Medical Systems Biology
Mohamed Marouf (Linkedin profile) was born on July 8, 1986 in Masyaf area, Syria. In June, 2009, he graduated from the Faculty of Electrical and Electronic Engineering, Department of Computer Engineering at the Aleppo University.
In 2018, Mohamed finished his PhD studies in Serbia at the School of Electrical Engineering, University of Belgrade. His research interests during his PhD include Biomedical Signal Processing, Bioinformatics, and Machine Learning.
Over the last 8 years, Mohamed has worked as an R&D engineer and team lead for the HTEC group and, afterwards, for Seven Bridges Genomics. Right now, he is working as a machine learning scientist in Systems Biology at the Centre for Molecular Neurobiology, in Hamburg, Germany.
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