Organizations with a vision for the future realize that data is at the heart of their research initiatives and development projects. The most cutting-edge approaches often create the biggest data challenges, from data capture and analysis, to management and security. High data-rate instruments, such as genome sequencers, cryo electon microscopes and medical imaging devices are greatly increasing the data load. Machine learning is being applied to many aspects of precision medicine, such as mining phenotypic and genotypic patient data for better targets therapies or for faster and more accurate medical image analysis. These approaches not only require faster analysis, but are also becoming much more complex.
The Life Sciences Field Day features presenters from top life sciences organizations, covering today’s most pressing data management challenges. Watch videos from the 2018 event and discover how organizations are addressing the biggest data challenges created by high data-rate instruments, machine learning initiatives and other demanding workflows.
