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.
Marilyn Matz, CEO of Paradigm4, and Zachary Pitluk, Vice President of Life Sciences at Paradigm4, explain why scalable data science platforms are key to supporting integrated analysis of single-cell genomic data sets.
Precision medicine is poised to transform healthcare, with biobanks being identified as a key enabler to bring it to fruition by 2030 by putting new, extended datasets at the disposal of pharmaceutical researchers and healthcare professionals. — by Marilyn Matz
Paradigm4, an integrated scientific data analytics company, has launched flexFS, its elastic cloud file system for flexible and more resource-efficient data storage and scalable computing.
