Precision medicine is one of the most talked about trends in healthcare. The promise is improved health outcomes and patient satisfaction, gained through an understanding of individual variability in genes, environment, and lifestyle. Recent commentators suggest that many of the technologies required to realize this goal already exist—and predict much wider application can be achieved by 2030.
At the heart of a precision medicine approach is data—huge amounts of data.
The idea of precision medicine – delivering the right drug treatment to the right patient at the right time and at the right dose – underpins current thinking in pharma R&D. by Zach Pitluk
The past few years have seen several flashy demonstrations of how artificial intelligence (AI) algorithms may transform biomedical research, particularly with respect to drug discovery.
Pharma researchers are tasked with organizing disparate data, which detracts from time spent understanding disease mechanisms and enabling the development of more effective drugs. Paradigm4 is tackling this issue with a new platform based on a novel approach to data organization and elastic computing. Even companies with small budgets can
