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 past few years have seen several flashy demonstrations of how artificial intelligence (AI) algorithms may transform biomedical research, particularly with respect to drug discovery.
Paradigm4’s Marilyn Matz and Zachary Pitluk discuss the challenges of integrating data from heterogeneous sources and how the company’s plaform and apps combine the cutting edge of computer science and a sensibility geared toward the unique needs of pharma and biopharma to provide end-to-end solutions.
