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 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.
Single-cell technologies have positioned themselves at the forefront of biomedical research. These platforms allow researchers to bypass the uncertainties of bulk data and instead interrogate biological systems at a level of detail that was previously unreachable. But the value of these systems risks being impaired by bottlenecks in data analysis
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.