Swarm Learning Enables Medical Modeling & Prediction

Swarm Learning is a decentralized machine learning framework built on blockchain technology, particularly designed to enable enterprises to harness the power of distributed data while protecting data privacy and security. Swarm Learning leverages the computing power at or near the distributed data sources, ensures security using blockchain technology, and protects privacy by sharing insights captured from data instead of the raw data itself. Learn how this technology enables medical research to collaborate across different research institutes to develop a better and generic model for disease prediction.




Joachim L. Schultze is Founding Director of Systems Medicine at the German Center for Neurodegenerative Diseases (DZNE) and Founding Director of the PRECISE Platform for Single Cell Genomics and Epigenomics at the DZNE and the University of Bonn. He went to Medical School in Tübingen, spent 10 years at Dana-Farber Cancer Institute, Harvard Medical School, in Boston before he returned to Germany with a Sofia Kovalevskaya Award of the Humboldt Foundation. He is the coordinator of the German DFG-funded NGS competence centers in Germany and speaker of the West German Genome Center at the Bonn site. He contributes his expertise to several EU consortia. He is an expert in macrophage biology and works at the interphase between immunology, genomics and the computational sciences. With his team he was the first to apply memory driven computing and Swarm Learning to medical research. His goal is to bring single cell technologies and machine learning approaches to the clinical arena. He is leading several programs on applying single cell technologies, memory driven computing and Swarm Learning to patients with Alzheimer’s disease, chronic obstructive pulmonary disease, lung cancer or HIV. He has established research collaborations with HPE, Comma Soft, Boehringer Ingelheim, Becton Dickinson and other companies.



Krishna Prasad Shastry is Chief Technologist for India Advanced Development Center. Prasad is responsible for driving strategic programs and advance development in emerging technologies like Artificial Intelligence, Machine Learning, Edge Computing, and blockchain.  In the past 6 years at India ADC, Prasad has led several research and advance development activities in the areas of big data, in-storage computing, software accelerators, and memory-driven computing. Currently, Prasad is focused on developing solutions for decentralized machine learning and AI/ML life cycle management. In addition to co-inventing Swarm Learning technology, Prasad is overseeing its applications in healthcare field.





Our Speakers:  

Joachim.jpeg

















Krishna.jpeg


NAME

Title, Company

NAME

Title, Company

NAME

Title, Company

NAME

Title, Company

NAME

Title, Company

NAME

Title, Company

NAME

Title, Company

NAME

Title, Company

NAME

Title, Company

NAME

Title, Company

NAME

Title, Company

NAME

Title, Company

NAME

Title, Company

NAME

Title, Company

NAME

Title, Company

NAME

Title, Company

NAME

Title, Company

NAME

Title, Company

NAME

Title, Company

NAME

Title, Company

NAME

Title, Company

NAME

Title, Company

NAME

Title, Company

NAME

Title, Company