Popular opinion is that two big shifts have changed the game for bioinformatics. The first is a technology development—single cell ‘omics—that began just over 10 years ago, the other is a more recent move to a new model of drug discovery that looks to leverage the vast amounts of human genetic data now being generated in support of precision medicine.
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.
Recent news that the US Food and Drug Administration (FDA) will ask cell and gene therapy (CGT) developers to provide more consistent evidence with their submissions has resulted in drug makers delaying development plans — and working on new ways to address the agency’s concerns
TetraScience, the R&D Data Cloud company, announced today that Paradigm4, an integrated scientific data analytics company, has joined the Tetra Partner Network (TPN) so that pharmaceutical customers can accelerate research decision-making using Tetra Data as a foundation for analytical computing.
