DataInsightsOur ThinkingWhitepapers Disease landscapes: Meaningful scientific and strategic assessments for drug discovery and development Disease landscapes include pre-clinical, clinical, and commercial data. They inform a company’s decision to proceed…Prashant SharmaMarch 23, 2023
DataInsightsOur ThinkingWhitepapers Selecting and preparing data for AI/ML predictive modeling Find out the impact of data selection on the predictive accuracy of AI/ML models and…Prashant SharmaFebruary 28, 2023
Our ThinkingWhitepapers Optimizing scRNA-seq data analysis with effective pipeline development Single-cell RNA sequencing (scRNA-seq) allows genetic makeup to be studied at the level of single…Prashant SharmaJanuary 16, 2023
DataFeaturedInsightsR&D TechnologyWhitepapers Accelerating discovery and creating value Pharmas and biotechs are united by a common goal: discovery. Whether seeking new treatments, improved…Ben.frew@excelra.comOctober 20, 2022
DataWhitepapers Training machine learning algorithms on different data scales Poor drug solubility is one of the main obstacles in drug discovery and development and…Ben.frew@excelra.comOctober 20, 2022
Drug RepurposingInsightsOur ThinkingWhitepapers Accelerated drug repurposing using advanced analytics Expertly curated data and advanced analytics have had a huge impact on drug repurposing –…Ben.frew@excelra.comOctober 20, 2022
Clinical Data ServicesDataOur ThinkingWhitepapers Optimizing preclinical toxicology data analysis with comprehensive, digitized reports To understand a drug's effect on the body, investigations take place to understand the pharmacokinetic…Ben.frew@excelra.comOctober 18, 2022