Harness the power of big data and AI to drive efficiencies across the entire drug development lifecycle from discovery through delivery.
Built by the original creators of Apache Spark™ the Databricks Unified Analytics Platform enables data processing and machine learning at massive scale — empowering life sciences organizations to improve therapeutics while reducing costs.
Accelerate drug discovery and improve retargeting efforts by processing and analyzing large cohorts of DNA sequence data along with other biomedical and imaging datasets.
Build machine learning models on top of diverse sets of real-world data to improve trial design, disease identification, medication adherence and many other use cases.
Increase marketing and sales effectiveness with highly targeted prescriber and patient programs using machine learning and predictive analytics.
Learn how the Unified Analytics Platform for Genomics powers interactive genomic data processing, analytics and AI at massive scale with a scalable DNASeq pipeline that is concordant with GATK4 at best-in-class speeds.
Learn how Prognos built ML pipelines on 25 billion clinical lab records with Databricks, Apache Spark™ and AWSWatch Now
Learn how Human Longevity Inc, a leader in medical imaging and genomics, uses Databricks, Spark, and MLFlow to build a comprehensive imaging database of 14,000 de-identified individuals and power an agile environment for machine learning.Watch Now
Watch this Spark + AI Summit talk to hear how McKesson’s Data and Analytics teams use Azure Databricks, Apache Spark and machine learning to analyze claims data and detect copay anomalies.Watch Now
Learn how to build an end-to-end ML pipeline for streaming EKG data using Delta Lake, HorovodRunner and MLflowWatch Now
"The Databricks Unified Analytics Platform is enabling everyone in our integrated drug development process – from physician-scientists to computational biologists – to easily access, analyze, and extract insights from all of our data."
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