Pharma researchers are tasked with organizing disparate data, which detracts from time spent understanding disease mechanisms and enabling the development of more effective drugs. Paradigm4 is tackling this issue with a new platform based on a novel approach to data organization and elastic computing. Even companies with small budgets can access this amazing computational power at a very cost-effective price. — Marilyn Matz and Zach Pitluk, Ph.D.
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
Dr. Zach Pitluk and Dr. Srikant Sarangi on preparing the way for AI/ML to impact drug discovery and development.
Metabolomics—often referred to as the youngest of the omics—provides key insight into phenotype. However, bulk metabolomics requires the homogenization of the sample and is thus unable to discern metabolic differences at a cellular level.
