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.
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.
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 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.
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