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insideBIGDATA || Big Data in Life Sciences – Why ‘doing things the old way’ is the Biggest Barrier to Progress

Zachary Pitluk, Ph.D., Vice President of Life Sciences and Healthcare at Paradigm4, highlights how real insight comes, not from data collection, but from intelligent data curation, computation, and application.

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 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. by Ruairi J MacKenzie

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Examination of a methylation-driven breast cancer gene panel using UK Biobank, TCGA, and single cell Human Cell Atlas datasets – presented at the American Society of Human Genetics Conference 2022.