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.
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
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.
More sensitive technology spurs proteomic and metabolomic biomarker identification, clinical use. (Complete article on page 21)