The rare disease in question suffers from significant underdiagnosis and underdocumentation due to the absence of a specific ICD-10 code and the heterogeneous nature of its phenotype. Despite the necessity […]
Rare Disease Patient Identification Project Case Study Read More »
Artificial Intelligence (AI) fueled by real-world healthcare data has yet to be fully leveraged by biopharmaceutical companies but is poised to revolutionize their business strategies. For example, one can use
Unlocking AI’s Power in Biopharma with Real-World Data Read More »
Rethinking Big Data Strategies in Biopharma: From Platforms to Engagement Most biopharmaceutical companies have spent the last few years focused on a Big Data strategy targeted at reducing costs and
Big Data Analytics in Biopharma: Transforming Care Read More »
Data has become a commodity within biopharma. Multiple companies have made significant strides in procuring, integrating and managing datasets for biopharma. However, one fundamental challenge remains — generating actionable insights
Enhancing Biopharma Strategy with Data Analytics Insights Read More »
Author: Timothy Hare VP, Head of Data Science, 81qd New York, NY A purely AI-driven design of drug candidates is coming into its own, as scientists discover better AI model
AI Revolutionizes Drug Design: Enhancing R&D in Biopharma Read More »
CASE BACKGROUND Situation Client is focused on the discovery and development of precision medicines for difficult-to-treat cancers The target disease is rare. About 8,000 people in the United
Optimizing Trial Recruitment: Segmenting HCP Targeting Read More »
The pharmaceutical industry has been reshaped by many changes over the past decade, including the emergent power of managed care, the declining use of sales representatives, and the explosive growth
Thought Leader Engagement in Pharma’s Evolving Landscape Read More »
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