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.
Single-cell analysis has great promise… but how can we get there? by Zachary Pitluk
Paradigm4’s REVEAL Integrative Analytics platform enables Alnylam Pharmaceuticals to discover novel, genetically-validated drug targets from population scale biobank genotype-phenotype datasets and underlies the extraordinary pace and productivity of Alnylam’s RNAi therapeutics pipeline.
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
